US20110126197A1 - System and method for controlling cloud and virtualized data centers in an intelligent workload management system - Google Patents

System and method for controlling cloud and virtualized data centers in an intelligent workload management system Download PDF

Info

Publication number
US20110126197A1
US20110126197A1 US12645114 US64511409A US2011126197A1 US 20110126197 A1 US20110126197 A1 US 20110126197A1 US 12645114 US12645114 US 12645114 US 64511409 A US64511409 A US 64511409A US 2011126197 A1 US2011126197 A1 US 2011126197A1
Authority
US
Grant status
Application
Patent type
Prior art keywords
image
service
cloud
virtual machine
system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US12645114
Inventor
Kal A. Larsen
Stephen R. Carter
Michael Jorgensen
Nathaniel Brent Kranendonk
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Micro Focus Software Inc
Original Assignee
Micro Focus Software Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/08Network architectures or network communication protocols for network security for supporting authentication of entities communicating through a packet data network
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/08Network architectures or network communication protocols for network security for supporting authentication of entities communicating through a packet data network
    • H04L63/0807Network architectures or network communication protocols for network security for supporting authentication of entities communicating through a packet data network using tickets, e.g. Kerberos
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/08Network architectures or network communication protocols for network security for supporting authentication of entities communicating through a packet data network
    • H04L63/0815Network architectures or network communication protocols for network security for supporting authentication of entities communicating through a packet data network providing single-sign-on or federations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communication
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communication including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/321Cryptographic mechanisms or cryptographic arrangements for secret or secure communication including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving a third party or a trusted authority
    • H04L9/3213Cryptographic mechanisms or cryptographic arrangements for secret or secure communication including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving a third party or a trusted authority using tickets or tokens, e.g. Kerberos
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0631Resource planning, allocation or scheduling for a business operation
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting

Abstract

The system and method for controlling cloud and virtualized data centers described herein may include a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads, and further to creating cloud images having embedded management agents and identity services for validating the cloud images prior to deployment into the cloud and virtualized data centers and controlling, monitoring, and auditing activity associated with the cloud images following deployment into the cloud and virtualized data centers.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61/264,562, entitled “System and Method for Intelligent Workload Management,” filed on Nov. 25, 2009, the contents of which are hereby incorporated by reference in entirety.
  • In addition, this application is further related to co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Intelligent Workload Management,” filed on ______, co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Recording Collaborative Information Technology Processes in an Intelligent Workload Management System,” filed on ______, co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Managing Information Technology Models in an Intelligent Workload Management System,” filed on ______, co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Discovery Enrichment in an Intelligent Workload Management System,” filed on ______, co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Providing Service Layer Blueprints in an Intelligent Workload Management System,” filed on ______, and co-pending U.S. patent application Ser. No. ______, entitled “System and Method for Providing Scorecards to Visualize Services in an Intelligent Workload Management System,” filed on ______, each of which further claim benefit to U.S. Provisional Patent Application Ser. No. 61/264,562, and each of which are hereby further incorporated by reference in entirety.
  • FIELD OF THE INVENTION
  • The invention relates to a system and method for controlling cloud and virtualized data centers in an intelligent workload management, and in particular, to a computing environment having a model-driven, service-oriented architecture for creating collaborative threads to manage workloads, and further to creating cloud images having embedded management agents and identity services for validating the cloud images prior to deployment into the cloud and virtualized data centers and controlling, monitoring, and auditing activity associated with the cloud images following deployment into the cloud and virtualized data centers.
  • BACKGROUND OF THE INVENTION
  • “Cloud computing” generally refers to a computing environment with dynamically scalable and often virtualized resources, which are typically provided as services over the Internet. For example, cloud computing environments often employ the concept of virtualization as a preferred paradigm for hosting workloads on any appropriate hardware. The cloud computing model has become increasingly viable for many enterprises for various reasons, including that the cloud infrastructure may permit information technology resources to be treated as utilities that can be automatically provisioned on demand, while also limiting the cost of services to actual resource consumption. Moreover, consumers of resources provided in cloud computing environments can leverage technologies that might otherwise be unavailable. Thus, as cloud computing and cloud storage become more pervasive, many enterprises will find that moving data center to cloud providers can yield economies of scale, among other advantages.
  • However, while much of the information technology industry moves toward cloud computing and virtualization environments, existing systems tend to fall short in adequately addressing concerns relating to managing or controlling workloads and storage in such environments. For example, cloud computing environments are generally designed to support generic business practices, meaning that individuals and organizations typically lack the ability to change many aspects of the platform. Moreover, concerns regarding performance, latency, reliability, and security present significant challenges, as outages and downtime can lead to lost business opportunities and decreased productivity, while the generic platform may present governance, risk, and compliance concerns. In other words, once organizations deploy workloads beyond the boundaries of their data centers, lack of visibility into the computing environment may result in significant management problems.
  • While these types of problems tend to be pervasive in cloud computing and virtualization environments due to the lack of transparency, existing systems for managing and controlling workloads that are physically deployed and/or locally deployed in home data centers tend to suffer from many similar problems. In particular, information technology has traditionally been managed in silos of automation, which are often disconnected from one another. For example, help desk systems typically involve a customer submitting a trouble ticket to a remedy system, with a human operator then using various tools to address the problem and close the ticket, while monitoring systems that watch the infrastructure to remediate problems may remain isolated from the interaction between the customer and the help desk despite such interaction being relevant to the monitoring system's function.
  • As such, because existing systems for managing infrastructure workloads operate within distinct silos that typically do not communicate with one another, context that has been exchanged between two entities can often be lost when the workload moves to the next step in the chain. When issues surrounding workload management are considered in the context of business objectives, wherein information technology processes and business issues collectively drive transitions from one silo to another, modern business tends to move at a speed that outpaces information technology's ability to serve business needs. Although emerging trends in virtualization, cloud computing, appliances, and other models for delivering services have the potential to allow information technology to catch up with the speed of business, many businesses lack the knowledge needed to intelligently implement these new technologies.
  • For example, emerging service delivery models often lead to deployed services being composed and aggregated in new and unexpected ways. In particular, rather than designing and modeling systems from the ground up, new functionality is often generated on-the-fly with complex building blocks that tend to include various services and applications that have traditionally been isolated and stand-alone. As such, even though many emerging service delivery models provide administrators and users with a wider range of information technology choices than have ever before been available, the diversity in technology often compounds business problems and increases the demand for an agile infrastructure. Thus, despite the advantages and promise that new service delivery models can offer businesses, existing systems tend to fall short in providing information technology tools that can inform businesses on how to intelligently implement an information technology infrastructure in a manner that best leverage available technology to suit the particular needs of a business.
  • SUMMARY OF THE INVENTION
  • According to one aspect of the invention, a system and method for intelligent workload management may generally provide a computing environment having a fluid architecture, whereby the computing environment may create common threads to manage workloads that converge information relating to user identities and access credentials, provisioned and requested services, and physical and virtual infrastructure resources, among other things. In one implementation, services provided in the computing environment may generally include various aggregated physical and/or virtual resources, while applications may include various aggregated services and workloads may include various compositions of whole services, separate services, and/or sub-services that work together. For example, in response to a user requesting a service that performs a particular function or application, the intelligent workload management system (or alternatively “the workload management system”) may create a workload to manage provisioning the user with a tuned appliance configured to perform the particular function or application, whereby the tuned appliance may provide the requested service for the user. To manage the workload, the workload management system may create a resource store that points to a storage location for the appliance, declare a service level agreement and any runtime requirements that constrain deployment for the appliance, obtain a certificate that provides attestation tokens for the user and the appliance, and create a profile that provides an audit trail of actual lifecycle behavior for the appliance (e.g., events and performance metrics relating to the appliance). Thus, workflows created in the computing environment may converge various sources of information within a common thread, which the workload management system may use to manage the workload (e.g., actual metrics for a particular workload can be compared to anticipated metrics for the workload to determine whether various services underlying the workload function as intended).
  • According to one aspect of the invention, the system and method for intelligent workload management may operate in a model-driven architecture, which may merge information relating to user identities with services that may be running in an information technology infrastructure. As such, the information merged in the model-driven architecture may be referenced to determine specific users or organizational areas within the infrastructure that may be impacted in response to a particular change to the infrastructure model. Thus, whereas information technology has traditionally been managed within disparate silos, where context exchanged between any two entities may be lost at the next step in the chain, the model-driven architecture may track context for information technology workloads from start to finish. As such, tracking context for the information technology workloads may provide audit trails that can then be used to identify a relevant user, application, system, or other entity that can provide assistance with a particular issue. Moreover, in the context of managing workloads for virtualized services, where different users typically have to communicate with one another on-demand, the audit trail that the model-driven architecture enables may track end-to-end workload activities and thereby provide visibility and notice to users, applications, systems, services, or any other suitable entity that may be impacted by the workload.
  • According to one aspect of the invention, the system and method for intelligent workload management may enable agile and flexible management for an information technology infrastructure, which may enable the infrastructure to move at the speed of modern business. For example, the system and method for intelligent workload management may further operate in a service-oriented architecture unifying various heterogeneous technologies, which may provide businesses with the capability to deploy information technology resources in a manner that can meet business objectives. For example, the service-oriented architecture may provide adaptable, interoperable, and user-friendly information technology tools to manage the infrastructure in a manner that addresses many typical business challenges that information technology organizations face. For example, while the model-driven architecture may employ virtualization features to provide manageable workloads that can move efficiently through the infrastructure, the service-oriented architecture may merge different technologies to provide various coordinated systems that can cooperate to optimally execute portions of an overall orchestrated workload. As such, the model-driven and service-oriented architectures may collectively derive data from the information technology infrastructure, which may inform intelligent information technology choices that meet the needs of businesses and users.
  • According to one aspect of the invention, the system and method for intelligent workload management may be used to manage workloads created in response to service requests. For example, any suitable user, application, system, or other entities may request a service from the workload management system, wherein the request may include a desired performance level (or service level) for the service, any components or criteria required for the service, comments to provision the service in a certain manner, or any other suitable information for the requested service. In response to receiving the service request, human and/or automated approvers (or service delivery managers) may collaboratively manage the service request and determine whether the service can be provisioned as requested. Furthermore, the approvers may provide feedback on the service provisioning decision, which may create an interactive collaborative “conversation” between requesters, approvers, and other entities in the management thread. In one implementation, various security policies may be built into the model to automatically approve or deny certain requests, wherein the security policies may be dynamically updated in response to handling similar requests (e.g., a request for Bit Torrent storage may be automatically denied because a particular security policy indicates that peer-to-peer file sharing violates a company policy).
  • According to one aspect of the invention, services provisioned in the workload management system may include any suitable combination of physical infrastructure resources and virtualized infrastructure resources. For example, to provision virtualized services that can abstract underlying physical platforms and share computing resources in a manner that may address many needs for immediacy in business environments, the workload management system may manage physical infrastructure resources and virtualized infrastructure resources to support provisioning virtualized services. Thus, the service-oriented architecture employed in the workload management system may enable management for the physical infrastructure resources (e.g., rack-mounting, configuring, and otherwise physically installing servers, storage resources, and other devices), and may further enable management for the virtualized infrastructure resources (e.g., pre-configuring provisioned services with identity management features, denying, flagging, or auditing service requests from unauthorized entities, etc.). Moreover, the workload management system may be considered a service in that the workload management service may be built dynamically in response to service requests (e.g., because a management infrastructure can introduce computational burdens just as any other resource, limiting the existence of the workload management infrastructure to an on-demand service can free computational resources for other tasks having a greater need for immediacy).
  • According to one aspect of the invention, to manage collaborative service provisioning in contexts that combine physical and virtualized resources, the workload management system may store a history of interaction between requesters, approvers, and other entities in service provisioning threads, and may further record, log, and save traffic and activity between such entities in the service provisioning threads. As such, various processes that occur during service provisioning may be recorded and injected into a real-time stream that can subsequently be played back, thereby capturing the service provisioning processes as a whole, including any responses that human and/or automated entities may provide during the collaborative process. During processes for collaboratively managing the information technology infrastructure, the workload management system may expose portions of the infrastructure model to entities involved in the management processes. In one implementation, the workload management system may expose “just enough context” to entities involved in the management processes, whereby the involved entities may view the respective portions of the infrastructure model for which such entities have management responsibility (e.g., prior to implementing any particular change to the infrastructure, the workload management system may query the model and determine an impact of the change, notify impacted entities, etc.).
  • According to one aspect of the invention, virtualized services provisioned in the workload management system may further include injection points for adding and/or removing information from the provisioned services. For example, any particular virtualized service may generally include a layered architecture that includes injection points for inserting “zero residue” management agents that can manage the service and ensure that the service functions correctly. Thus, in one implementation, zero residue management agents may be inserted within virtualized services at build time, run time, or any other suitable point in a lifecycle for the virtualized services, wherein the particular management agents inserted within the virtualized services may depend on a type of management required. For example, the workload management system may analyze a configuration of the service, a lifecycle point for the service, or other suitable information for the service to derive a recipe of the management agents to be injected (e.g., the recipe may depend on a required service level for the service, a current operational state for the infrastructure model, services running in the infrastructure, a type of management required for the running services, etc.).
  • Other objects and advantages of the invention will be apparent to those skilled in the art based on the following drawings and detailed description.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1A illustrates a block diagram of an exemplary model-driven architecture in a system for intelligent workload management, according to one aspect of the invention.
  • FIG. 1B illustrates a block diagram of an exemplary service-oriented architecture in the system for intelligent workload management, according to one aspect of the invention.
  • FIG. 2 illustrates a flow diagram of an exemplary method for intelligent workload management, according to one aspect of the invention.
  • FIG. 3 illustrates an exemplary system for generating single sign-on workload identities in the workload management system, according to one aspect of the invention.
  • FIG. 4 illustrates an exemplary method for generating single sign-on workload identities in the workload management system, according to one aspect of the invention.
  • FIG. 5A illustrates a block diagram of an exemplary service distribution that can be managed with zero residue management agents in the intelligent workload management system, while FIG. 5B illustrates an exemplary lifecycle for a service distribution managed with the zero residue management agents, according to one aspect of the invention.
  • FIG. 6 illustrates a flow diagram of an exemplary method for managing different modes of a service distribution lifecycle with the zero residue management agents in the intelligent workload management system, according to one aspect of the invention.
  • FIG. 7 illustrates a block diagram of an exemplary system for controlling cloud and virtualized data centers in the intelligent workload management system, according to one aspect of the invention.
  • FIG. 8 illustrates a flow diagram of an exemplary method for controlling cloud and virtualized data centers in the intelligent workload management system, according to one aspect of the invention.
  • DETAILED DESCRIPTION
  • According to one aspect of the invention, FIG. 1A illustrates an exemplary model-driven architecture 100A in a system for intelligent workload management, while FIG. 1B illustrates an exemplary service-oriented architecture 100B in the system for intelligent workload management. In one implementation, the model-driven architecture 100A shown in FIG. 1A and the service-oriented architecture 100B shown in FIG. 1B may include various components that operate in a substantially similar manner to provide the functionality that will be described in further detail herein. Thus, any description provided herein for components having identical reference numerals in FIGS. 1A and 1B will be understood as corresponding to such components in both FIGS. 1A and 1B, whether or not explicitly described.
  • In one implementation, the model-driven architecture 100A illustrated in FIG. 1A and the service-oriented architecture 100B illustrated in FIG. 1B may provide an agile, responsive, reliable, and interoperable information technology environment, which may address various problems associated with managing an information technology infrastructure 110 (e.g., growing revenues and cutting costs, managing governance, risk, and compliance, reducing times to innovate and deliver products to markets, enforcing security and access controls, managing heterogeneous technologies and information flows, etc.). To that end, the model-driven architecture 100A and the service-oriented architecture 100B may provide a coordinated design for the intelligent workload management system (or alternatively “the workload management system”), wherein the coordinated design may integrate technologies for managing identities, enforcing policies, assuring compliance, managing computing and storage environments, providing orchestrated virtualization, enabling collaboration, and providing architectural agility, among other things. The model-driven architecture 100A and the service-oriented architecture 100B may therefore provide a flexible framework that may enable the workload management system to allocate various resources 114 in the information technology infrastructure 110 in a manner that balances governance, risk, and compliance with capacities for internal and external resources 114. For example, as will be described in further detail herein, the workload management system may operate within the flexible framework that the model-driven architecture 100A and the service-oriented architecture 100B to deliver information technology tools for managing security, performance, availability, and policy objectives for services provisioned in the information technology infrastructure 110.
  • Identity Management
  • In one implementation, as noted above, the technologies integrated by the model-driven architecture 100A and the service-oriented architecture 100B may enable managing identities in the information technology infrastructure 110. In particular, managing identities may present an important concern in the context of managing services in the information technology infrastructure 110 because security, performance, availability, policy objectives, and other variables may have different importance for different users, customers, applications, systems, or other resources 114 that operate in the information technology infrastructure 110. As such, the model-driven architecture 100A and the service-oriented architecture 100B may include various components that enable identity management in the information technology infrastructure 110.
  • For example, in one implementation, the workload management system may include an access manager 120 (e.g., Novell Access Manager), which may communicate with an identity vault 125 and control access to content, applications, services, and other resources 114 in the information technology infrastructure 110. In one implementation, the access manager 120 may enforce various policy declarations to provide authentication services for any suitable component in the information technology infrastructure 110. For example, the identity vault 125 may include various directories that organize user accounts, roles, policies, and other identity information that the access manager 120 can reference to generate authorization decisions. The access manager 120 and the identity vault 125 may further support federated user identities, wherein a user at any particular client resource 115 may submit single sign-on authentication credentials to the access manager 120, which may then control access to any suitable resource 114 in the information technology infrastructure 110 with the single sign-on authentication credentials (e.g., user names, identifiers, passwords, smart cards, biometrics, etc.). Moreover, the identity information stored in the identity vault 125 may be provided to a synchronization engine 150, whereby the synchronization engine 150 may provide interoperable and transportable identity information throughout the architecture (e.g., via an identity fabric within an event bus 140 that manages transport throughout the architecture).
  • In one implementation, providing the identity information stored in the identity vault 125 to the synchronization engine 150 may form portable identities that correspond to independent digital representations for various users, applications, systems, or other entities that interact with the information technology infrastructure 110. In particular, the identities maintained in the synchronization engine 150 may generally include abstractions that can provide access to authoritative attributes, active roles, and valid policies for entities that the identity abstractions represent. Thus, synchronizing the identity information stored in the identity vault 125 with the synchronization engine 150 may provide independent and scalable digital identities that can be transported across heterogeneous applications, services, networks, or other systems, whereby the workload management system may handle and validate the digital identities in a cooperative, interoperable, and federated manner.
  • In one implementation, the identities stored in the identity vault 125 and synchronized with the synchronization engine 150 may be customized to define particular attributes and roles that the identities may expose. For example, a user may choose to create one identity that exposes every attribute and role for the user to applications, services, or other systems that reside within organizational boundaries, another identity that limits the attributes and roles exposed to certain service providers outside the organizational boundaries, and another identity that provides complete anonymity in certain contexts. The identities maintained in the synchronization engine 150 may therefore provide awareness over any authentication criteria that may be required to enable communication and collaboration between entities that interact with the workload management system. For example, the synchronization engine 150 may include a service that can enforce policies controlling whether certain information stored in the identity vault 125 can be shared (e.g., through the access manager 120 or other information technology tools that can manage and customize identities).
  • In one implementation, the workload management system may further manage identities in a manner that enables infrastructure workloads to function across organizational boundaries, wherein identities for various users, applications, services, and other resources 114 involved in infrastructure workloads may be managed with role aggregation policies and logic that can support federated authentication, authorization, and attribute services. For example, in one implementation, the access manager 120, the identity vault 125, and the synchronization engine 150 may manage identity services externally to applications, services, and other resources 114 that consume the identities, which may enable the workload management system to control access to services for multiple applications using consistent identity interfaces. In particular, the access manager 120, the identity vault 125, and the synchronization engine 150 may define standard interfaces for managing the identity services, which may include authentication services, push authorization services (e.g., tokens, claims, assertions, etc.), pull authorization services (e.g., requests, queries, etc.), push attribute services (e.g., updates), pull attribute services (e.g., queries), and audit services.
  • As such, in one implementation, the workload management system may employ the identity services provided in the model-driven architecture 100A and the service-oriented architecture 100B to apply policies for representing and controlling roles for multiple identities within any particular session that occurs in the information technology infrastructure 110. For example, in response to a session that includes a user logging into a client machine 115 and invoking a backup service, the workload management system may manage the session with multiple identities that encompass the user, the backup service, and the client machine 115. The workload management system may further determine that the identity for the client machine 115 represents an unsecured machine that resides outside an organizational firewall, which may result in the workload management system retrieving a policy from the identity vault 125 and/or the synchronization engine 150 and applying the policy to the session (e.g., the policy may dynamically prevent the machine 115 and the user from being active in the same session). Thus, the workload management system may manage multiple identities that may be involved in any particular service request to control and secure access to applications, services, and other resources 114 in the information technology infrastructure 110.
  • In one implementation, the model-driven architecture 100A and the service-oriented architecture 100B may further provide identity services for delegating rights in delegation chains that may involve various different levels of identities. In particular, any particular user may have various roles, attributes, or other identities that define various rights for the user. As such, in one implementation, the rights delegation identity service may enable the user to delegate a time-bounded subset of such rights to a particular service, wherein the service can then make requests to other services on behalf of the user during the delegated time. For example, a user may delegate rights to a backup service that permits the backup service to read a portion of a clustered file system 195 during a particular time interval (e.g., 2 a.m. to 3 a.m.). In response to the file system 195 receiving the read request from the backup service, the identity services may enable the file system 195 to audit identities for the backup service and the user, and further to constrain read permissions within the file system 195 based on the relevant rights defined by the identities for the backup service for the user.
  • In one implementation, the model-driven architecture 100A and the service-oriented architecture 100B may further provide identity services for defining relative roles, wherein relative roles may be defined where a principal user, application, service, or other entity can only assume a particular role for a particular action when a target of the action has a particular set of identities. For example, a user having a doctor role may only assume a doctor-of-record relative role if an identity for a target of the doctor-of-record action refers to one of the user's patients. In another example, applications may request controlled access to information about an identity for a certain user, wherein the application may, retrieve the requested information directly from the access-controlled identity for the user. In particular, the workload management system may determine the information requested by the application and create a workload that indicates to the user the information requested by the application and any action that the application may initiate with the requested information. The user may then make an informed choice about whether to grant the application access to the requested information. Thus, having identities to enable applications may eliminate a need for application-specific data storage or having the application access separate a directory service or another identity information source.
  • Thus, in the model-driven architecture 100A and the service-oriented architecture 1008, the identity management services may create crafted identities combined from various different types of identity information for various users, applications, services, systems, or other information technology resources 114. In one implementation, while the identity information may generally be stored and maintained in the identity vault 125, the identity information can be composed and transformed through the access manager 120 and/or the synchronization engine 150, with the resulting identity information providing authoritative statements for represented entities that span multiple authentication domains within and/or beyond boundaries for the information technology infrastructure 110. For example, an identity for a user may be encapsulated within a token that masks any underlying credential authentication, identity federation, and attribute attestation. Moreover, in one implementation, the identity services may further support identities that outlive entities that the identities represent and multiple identity subsets within a particular identity domain or across multiple identity domains. As such, the identity services provided in the model-driven architecture 100A and the service-oriented architecture 100B may include various forms of authentication, identifier mapping, token transformation, identity attribute management, and identity relationship mapping.
  • Policy Enforcement
  • In one implementation, as noted above, the technologies integrated by the model-driven architecture 100A and the service-oriented architecture 100B may enable enforcing policies in the information technology infrastructure 110. In particular, enforcing policies may present an important concern in the context of managing services in the information technology infrastructure 110 because policies may be driven from multiple hierarchies and depend on operational, legislative, and organizational requirements that can overlap, contradict, and/or override each other. As such, the model-driven architecture 100A and the service-oriented architecture 100B may include various components for defining policies in standardized languages that can be translated, merged, split, or otherwise unified as needed. To that end, the workload management system may have multiple policy decision points and policy definition services for consistently managing and enforcing policies in the information technology infrastructure 110
  • As such, in one implementation, the model-driven architecture 100A and the service-oriented architecture 100B may provide standard policy languages and service interfaces that enable the workload management system to make consistent decisions based on flexible user needs. In particular, any suitable resource 114 (including workloads and computational infrastructure) may be provided with access to standardized instrumentation that provides knowledge regarding information that may be available, desired, or allowed in the workload management system. In one implementation, the workload management system may invoke various cooperating policy services to determine suitable physical resources 114 a (e.g., physical servers, hardware devices, etc.), virtualized resources 114 b (e.g., virtual machine images, virtualized servers, etc.), configuration resources 114 c (e.g.; management agents, translation services, etc.), storage resources (e.g., the clustered file system 195, one or more databases 155, etc.), or other resources 114 for a particular workload. For example, the synchronization engine 150 may dynamically retrieve various policies stored in the databases 155, and an event audit service 135 b may then evaluate the policies maintained in the synchronization engine 150 independently from services that subsequently enforce policy decisions (e.g., the event audit service 135 b may determine whether the policies permit access to certain information for a particular application and the application may then enforce the policy determination).
  • In one implementation, separating policy evaluation within the event audit service 135 b from policy enforcement within consuming services may enable the workload management system to access the consuming services and manage policy-based control for the service in an independent and simultaneous manner. The event audit service 135 b may include a standardized policy definition service that can be used to define policies that span multiple separate application and management domains. For example, in one implementation, the policy definition service may create, manage, translate, and/or process policies separately from other service administration domains and interfaces. As such, the policy definition service may provide interoperability for the separate domains and interfaces, and may further enable compliance services that may be provided in a correlation system 165 and remediation services that may be provided in a workload service 135 a.
  • In one implementation, to ensure correct and effective policy decisions, the policy definition service provided within the event audit service 135 b may be configured to obtain data relating to a current state and configuration for resources 114 managed in the infrastructure 110 in addition to data relating to dependencies or other interactions between the managed resources 114. For example, a management infrastructure 170 may include a discovery engine 180 b that dynamically monitors various events that the infrastructure 110 generates and pushes onto the event bus 140, which may include an event backplane for transporting the events. Moreover, the discovery engine 180 b may query the infrastructure 110 to determine relationships and dependencies among users, applications, services, and other resources 114 in the infrastructure 110. As such, the discovery engine 180 b may monitor the event bus 140 to obtain the events generated in the infrastructure 110 and synchronize the events to the synchronization engine 150, and may further synchronize information relating to the relationships and dependencies identified in the infrastructure 110 to the synchronization engine 150. In one implementation, the event audit service 135 b may then evaluate any events, resource relationships, resource dependencies, or other information describing the operational state and the configuration state of the infrastructure 110 in view of any relevant policies and subsequently provide any such policy evaluations to requesting entities.
  • In one implementation, the policy definition service may include standard interfaces for defining policies in terms of requirements, controls, and rules. For example, the requirements may generally be expressed in natural language in order to describe permitted functionality, prohibited functionality, desirable functionality, and undesirable functionality, among other things (e.g., the event audit service 135 b may capture legislative regulations, business objectives, best practices, or other policy-based requirements expressed in natural language). The controls may generally associate the requirements to particular objects that may be managed in the workload management system, such as individual users, groups of users, physical resources 114 a, virtualized resources 114 b, or any other suitable object or resource 114 in the infrastructure 110. In one implementation, the policy definition service may further define types for the controls. For example, the type may include an authorization type that associates an identity with a particular resource 114 and action (e.g., for certain identities, authorizing or denying access to a system or a file, permission to alter or deploy a policy, etc.), or the type may include an obligation type that mandates a particular action for an identity.
  • Thus, in one implementation, translating requirements into controls may partition the requirements into multiple controls that may define policies for a particular group of objects. Furthermore, rules may apply certain controls to particular resources 114, wherein rules may represent concrete policy definitions. For example, the rules may be translated directly into a machine-readable and machine-executable format that information technology staff may handle and that the event audit service 135 b may evaluate in order to manage policies. In one implementation, the rules may be captured and expressed in any suitable domain specific language, wherein the domain specific language may provide a consistent addressing scheme and data model to instrument policies across multiple domains. For example, a definitive software library 190 may include one or more standardized policy libraries for translating between potentially disparate policy implementations, which may enable the event audit service 135 b to provide federated policies interoperable across multiple different domains. As such, the rules that represent the policy definitions may include identifiers for an originating policy implementation, which the policy definition service may then map to the controls that the rules enforce and to the domain specific policy language used in the workload management system (e.g., through the definitive software library 190).
  • Compliance Assurance
  • In one implementation, as noted above, the technologies integrated by the model-driven architecture 100A and the service-oriented architecture 100B may enable monitoring for compliance assurances in the information technology infrastructure 110. In particular, compliance assurance may present an important concern in the context of managing services in the information technology infrastructure 110 because policy enforcement encompasses issues beyond location, access rights, or other contextual information within the infrastructure (e.g., due to increasing mobility in computing environments). As such, the model-driven architecture 100A and the service-oriented architecture 100B may define metadata that bounds data to characteristics of data. To that end, the workload management system may employ a standard metadata format to provide interoperability between policies from multiple organizations to enable the policies to cooperate with one another and provide policy-based service control. For example, certain infrastructure workloads may execute under multiple constraints defined by users, the infrastructure 110, sponsoring organizations, or other entities, wherein compliance assurance may provide users with certification that the workloads were properly assigned and executed according to the constraints. In another example, sponsoring organizations and governing bodies may define control policies that constrain workloads, wherein compliance assurance in this context may include ensuring that only authorized workloads have been executed against approved resources 114.
  • As such, in one implementation, the model-driven architecture 100A and the service-oriented architecture 100B may provide preventative compliance assurance through a compliance management service that supports remediation in addition to monitoring and reporting. For example, when workloads move from data centers internal to the infrastructure 110 into third party processing centers, cloud computing environments, or other environments having reusable computing resource pools where services can be relocated, the workload management system may generate compliance reports 145 that indicate whether any constraints defined for the workloads have been satisfied (e.g., that authorized entities perform the correct work in the correct manner, as defined within the workloads). Thus, compliance may generally be defined to include measuring and reporting on whether certain policies effectively ensure confidentiality and availability for information within workloads, wherein the resulting compliance reports 145 may describe an entire process flow that encompasses policy definition, relationships between configurations and activities that do or do not comply with the defined policies, and identities of users, applications, services, systems, or other resources 114 involved in the process flow.
  • In one implementation, the workload management system may provide the compliance management service for workloads having specifications defined by users, and further for workloads having specifications defined by organizations. For example, users may generally define various specifications to identify operational constraints and desired outcomes for workloads that the users create, wherein the compliance management service may certify to the users whether or not the operational constraints and desired outcomes have been correctly implemented. With respect to organizational workloads, organizations may define various specifications identifying operational constraints and desired outcomes for ensuring that workloads comply with governmental regulations, corporate best practices, contracts, laws, and internal codes of conduct. Thus, the compliance management service may integrate the identity management services and the policy definition service described above to provide the workload management system with control over configurations, compliance event coverage, and remediation services in the information technology infrastructure 110.
  • In one implementation, the compliance management service may operate within a workload engine 180 a provided within the management infrastructure 170 and/or a workload service 135 b in communication with the synchronization engine 150. The workload engine 180 a and/or the workload service 135 b may therefore execute the compliance management service to measure and report on whether workloads comply with relevant policies, and further to remediate any non-compliant workloads. For example, the compliance management service may use the integrated identity management services to measure and report on users, applications, services, systems, or other resources 114 that may be performing operational activity that occurs in the information technology infrastructure 110. In particular, the compliance management service may interact with the access manager 120, the identity vault 125, the synchronization engine 150, or any other suitable source that provides federated identity information to retrieve identities for the entities performing the operational activity, validate the identities, determine relationships between the identities, and otherwise map the identities to the operational activity. For example, in one implementation, the correlation system 165 may provide analytic services to process audit trails for any suitable resource 114 (e.g., correlating the audit trails and then mapping certain activities to identities for resources 114 involved in the activities). Furthermore, in response to the correlation system 165 processing the audit trails and determining that certain policies have been violated, the correlation system 165 may invoke one or more automated remediation workloads to initiate appropriate action for addressing the policy violations.
  • In one implementation, the compliance management service may further use the integrated policy definition service to monitor and report on the operational activity that occurs in the information technology infrastructure 110 and any policy evaluation determinations that the event audit service 135 b generates through the policy definition service. For example, in one implementation, the workload engine 180 a and/or the workload service 135 b may retrieve information from a configuration management database 185 a or other databases 155 that provide federated configuration information for managing the resources 114 in the information technology infrastructure 110. The workload engine 180 a and/or the workload service 135 b may therefore execute the compliance management service to perform scheduled and multi-step compliance processing, wherein the compliance processing may include correlating operational activities with identities and evaluating policies that may span various different policy domains in order to govern the information technology infrastructure 110. To that end, the model-driven architecture 100A and the service-oriented architecture 100B may provide various compliance management models may be used in the compliance management service.
  • In one implementation, the compliance management models may include a wrapped compliance management model that manages resources 114 lacking internal awareness over policy-based controls. The compliance management service may augment the resources 114 managed in the wrapped compliance model with one or more policy decision points and/or policy enforcement points that reside externally to the managed resources 114 (e.g., the event audit service 135 b). For example, the policy decision points and/or the policy enforcement points may intercept any requests directed to the resources 114 managed in the wrapped compliance model, generate policy decisions that indicate whether the resources 114 can properly perform the requests, and then enforce the policy decisions (e.g., forwarding the requests to the resources 114 in response to determining that the resources 114 can properly perform the requests, denying the requests in response to determining that the resources 114 can properly perform the requests, etc.). Thus, because the resources 114 managed in the wrapped compliance model generally perform any requests that the resources 114 receive without considering policy-based controls or compliance issues, the event audit service 135 b may further execute the compliance management service to wrap, coordinate, and synthesize an audit trail that includes data obtained from the managed resources 114 and the wrapping policy definition service.
  • In one implementation, the compliance management models may include a delegated compliance management model to manage resources 114 that implement a policy enforcement point and reference an external policy decision point, wherein the resources 114 managed in the delegated compliance management model may have limited internal awareness over policy-based controls. As such, in one implementation, the compliance management service may interleave policy decisions or other control operations generated by the external policy decision point with the internally implemented policy enforcement point to provide compliance assurance for the resources 114 managed in the delegated compliance management model. The delegated compliance management model may therefore represent a hybrid compliance model, which may apply to any suitable service that simultaneously anticipates compliance instrumentation but lacks internal policy control abstractions (e.g., the internally implemented policy enforcement point may anticipate the compliance instrumentation, while the externally referenced policy decision point has the relevant policy control abstractions). Thus, in the delegated compliance management model, the compliance management service may have fewer objects to coordinate than in the wrapped compliance management model, but the event audit service 135 b may nonetheless execute the compliance management service to coordinate and synthesize an audit trail that includes data obtained from the managed resources 114 and the delegated external policy decision point.
  • In one implementation, the compliance management models may include an embedded compliance management model that manages resources 114 that internally implement policy enforcement points and policy decision points, wherein the resources 114 managed in the embedded compliance management model may have full internal awareness over policy-based controls. As such, in one implementation, the resources 114 managed in the embedded compliance management model may employ the internally implemented policy enforcement points and policy decision points to instrument any service and control operations for requests directed to the resources 114. In one implementation, to provide flexible compliance assurance, resources 114 managed in the embedded compliance management model may expose configuration or customization options via an externalized policy administration point. Thus, the embedded compliance management model may provide an integrated and effective audit trail for compliance assurance, which may often leave the compliance management service free to perform other compliance assurance processes.
  • Accordingly, in one implementation, the compliance management service may obtain information for any resource 114 managed in the information technology infrastructure 110 from the configuration management database 185 a or other databases 155 that include a federated namespace for the managed resources 114, configurations for the managed resources 114, and relationships among the managed resources 114. In addition, the compliance management service may reference the configuration management database 185 a or other the databases 155 to arbitrate configuration management in the infrastructure 110 and record previous configurations histories for the resources 114 in the configuration management database 185 a or other databases 155. As such, the compliance management service may generally maintain information relating to identities, configurations, and relationships for the managed resources 114, which may provide a comparison context for analyzing subsequent requests to change the infrastructure 110 and identifying information technology services that the requested changes may impact.
  • Computing and Storage Environments
  • In one implementation, as noted above, the technologies integrated by the model-driven architecture 100A and the service-oriented architecture 100B may include managing computing and storage environments that support services in the infrastructure 110. In particular, in one implementation, the computing and storage environments used to support services in the infrastructure 110 may employ Linux operating environments, which may generally include an operating system distribution with a Linux kernel and various open source packages (e.g., gcc, glibc, etc.) that collectively provide the Linux operating environments. In one implementation, the Linux operating environments may generally provide a partitioned distribution model for managing the computing and storage environments employed in the workload management system. Further, in one implementation, a particular Linux distribution may be bundled for operating environments pre-installed in the workload management system (e.g., openSUSE, SUSE Linux Enterprise, etc.), which may enable vendors of physical hardware resources 114 a to support every operating system that the vendors' customers employ without overhead that may introduced with multiple pre-installed operating environment choices.
  • In one implementation, the partitioned distribution model may partition the Linux operating environments into a physical hardware distribution (often referred to as a “pDistro”), which may include physical resources 114 a that run over hardware to provide a physical hosting environment for virtual machines 114 b. For example, in one implementation, the physical hardware distribution may include the Linux kernel and various hypervisor technologies that can run the virtual machines 114 b over the underlying physical hosting environment, wherein the physical hardware distribution may be certified for existing and future-developed hardware environments to enable the workload management system to support future advances in the Linux kernel and/or hypervisor technologies. Alternatively (or additionally), the workload management system may release the physical hardware distribution in a full Linux distribution version to provide users with the ability to take advantage of future advances in technologies at a faster release cycle.
  • In one implementation, the partitioned distribution model may further partition the Linux operating environments into a virtual software distribution (often referred to as a “vDistro”), which may include virtual machines 114 b deployed for specific applications or services that run, enable, and otherwise support workloads. More particularly, any particular virtual software distribution may generally include one or more Linux package or pattern deployments, whereby the virtual machines 114 b may include virtual machines images with “just enough operating system” (JeOS) to support the package or pattern deployments needed to run the applications or services for the workloads. In one implementation, the virtual software distribution may include a particular Linux product (e.g., SUSE Linux Enterprise Server) bundled with hardware agnostic virtual drivers, which may provide configuration resources 114 c for tuning virtualized resources 114 b for optimized performance.
  • In one implementation, the particular virtual software distribution may be certified for governmental security requirements and for certain application vendors, which may enable the workload management system to update any physical resources 114 a in the physical hardware distribution underlying the virtual software distribution without compromising support contracts with such vendors. In particular, in response to future changes in technology that may improve support for Linux operating environments, resulting improvements may occur in techniques for building and deploying Linux operating environments. Thus, where many application vendors currently tend to only provide support for certain Linux applications that run in certain Linux versions, the workload management system may enable support for any particular Linux application or version, which may drive Linux integration and adoption across the information technology infrastructure 110. In one implementation, for example, the workload management system may employ Linux applications and distributions created using a build system that enables any suitable application to be built and tested on different versions of Linux distributions (e.g., an openSUSE Build Service, SUSE Studio, etc.). For example, in response to receiving a request that includes unique specifications for a particular Linux application, the workload management system may notify distribution developers to include such specifications in the application, with the specifications then being made available to other application developers.
  • Thus, in one implementation, the Linux build system employed in the workload management system may enable distribution engineers and developers to detect whether changes to subsequent application releases conflict with or otherwise break existing applications. In particular, changes in systems, compiler versions, dependent libraries, or other resources 114 may cause errors in the subsequent application releases, wherein commonly employing the Linux build system throughout the workload management system may provide standardized application support. For example, in one implementation, the workload management system may employ certified implementations of the Linux Standard Base (LSB), which may enable independent software vendors (ISVs) to verify compliance, and may further provide various support services that can provide policy-based automated remediation for the Linux operating environments through the LSB Open Cluster Framework (OCF).
  • In one implementation, the Linux operating environments in the workload management system may provide engines that support orchestrated virtualization, collaboration, and architectural agility, as will be described in greater detail below. Further, to manage identities, enforce policies, and assure compliance, the Linux operating environments may include a “syslog” infrastructure that coordinate and manages various internal auditing requirements, while the workload management system may further provide an audit agent to augment the internal auditing capabilities that the “syslog” infrastructure provides (e.g., the audit agent may operate within the event audit service 135 b to uniformly manage the Linux kernel, the identity services, the policy services, and the compliance services across the workload management system). For example, in one implementation, partitioning the monolithic Linux distribution within a multiple layer model that includes physical hardware distributions and virtual software distributions may enable each layer of the operating system to be developed, delivered, and supported at different schedules. In one implementation, a scheduling system 180 c may coordinate such development, delivery, and support in a manner that permits dynamic changes to the physical resources 114 a in the infrastructure 110, which provide stability and predictability for the infrastructure 110.
  • In one implementation, partitioning the Linux operating environments into physical hardware distributions and virtual software distributions may further enable the workload management system to run workloads in computing and storage environments that may not necessarily be co-located or directly connected to physical storage systems that contain persistent data. For example, the workload management system may support various interoperable and standardized protocols that provide communication channels between users, applications, services, and a scalable replicated storage system, such as the clustered file system 195 illustrated in FIG. 1A, wherein such protocols may provide authorized access between various components at any suitable layer within the storage system.
  • In one implementation, the clustered file system 195 may generally include various block storage devices, each of which may host various different file systems. In one implementation, the workload management system may provide various storage replication and version management services for the clustered file system 195, wherein the various block storage devices in the clustered file system 195 may be organized in a hierarchical stack, which may enable the workload management system to separate the clustered file system 195 from operating systems and collaborative workloads. As such, the storage replication and version management services may enable applications and storage services to run in cloud computing environments located remotely from client resources 115.
  • In one implementation, various access protocols may provide communication channels that enable secure physical and logical distributions between subsystem layers in the clustered file system 195 (e.g., a Coherent Remote File System protocol, a Dynamic Storage Technology protocol, which may provide a file system-to-file system protocol that can place a particular file in one of various different file systems based on various policies, or other suitable protocols). Furthermore, traditional protocols for access files from a client resource 115 (e.g., HTTP, NCP, AFP, NFS, etc.) may be written to file system specific interfaces defined in the definitive software library 190. As such, the definitive software library 190 may provide mappings between authorization and semantic models associated with the access protocols and similar elements of the clustered file system 195, wherein the mappings may be dynamically modified to handle any new protocols that support cross-device replication, device snapshots, block-level duplication, data transfer, and/or services for managing identities, policies, and compliance.
  • As such, the storage replication and version management services may enable users to create workloads that define identity and policy-based storage requirements, wherein team members identities may be used to dynamically modify the team members and any access rights defined for the team members (e.g., new team members may be added to a “write access” group, users that leave the team may be moved to a “read access” group or removed from the group, policies that enforce higher compliance levels for Sarbanes-Oxley may be added in response to an executive user joining the team, etc.). For example, a user that heads a distributed cross-department team developing a new product may define various members for the team and request permission for self-defined access levels for the team members (e.g., to enable the team members to individually specify a storage amount, redundancy level, and bandwidth to allocate). The workload management system may then provide fine grained access control for a dynamic local storage cache, which may move data stored in the in the clustered file system 195 to a local storage for a client resource 115 that accesses the data (i.e., causing the data to appear local despite being persistently managed in the clustered file system 195 remotely from the client resource 115). As such, individual users may then use information technology tools define for local area networks to access and update the data, wherein the replication and version management services may further enable the individual users to capture consistent snapshots that include a state of the data across various e-mail systems, databases 155, file systems 195, cloud storage environments, or other storage devices.
  • In one implementation, the storage replication and version management services may further enable active data migration and auditing for migrated data. For example, policies or compliance issues may require data to be maintained for a longer lifecycle than hardware and storage systems, wherein the workload management system may actively migrate certain data to long-term hardware or an immutable vault in the clustered file system 195 to address such policies or compliance issues. Furthermore, identity-based management for the data stored in the clustered file system 195 may enable the workload management system to control, track, and otherwise audit ownership and access to the data, and the workload management system may further classify and tag the data stored in the clustered file system 195 to manage the data stored therein (e.g., the data may be classified and tagged to segregate short-term data from long-term data, maintain frequently used data on faster storage systems, provide a content-addressed mechanism for efficiently searching potentially large amounts of data, etc.). Thus, the workload management system may use the storage replication and version management services to generate detailed reports 145 for the data managed in the clustered file system.
  • In one implementation, the storage replication and version management services may further provide replication services at a file level, which may enable the workload management system to control a location, an identity, and a replication technique (e.g., block-level versus byte-level) for each file in the clustered file system 195. In addition, the storage replication and version management services may further enable the workload management system to manage storage costs and energy consumption (e.g., by controlling a number of copies created for any particular file, a storage medium used to store such copies, a storage location used to store such copies, etc.). Thus, integrating federated identities managed in the identity vault 125 with federated policy definition services may enable the workload management system to manage the clustered file system 195 without synchronizing or otherwise copying every identity with separate identity stores associated with different storage subsystems.
  • Orchestrated Virtualization
  • In one implementation, as noted above, the technologies integrated by the model-driven architecture 100A and the service-oriented architecture 100B may provide orchestrated virtualization for managing services provided in the information technology infrastructure 110. In particular, virtualization generally ensures that a machine runs at optimal utilization by allowing services to run anywhere, regardless of requirements or limitations that underlying platforms or operating systems may have. Thus, the workload management system may define standardized partitions that control whether certain portions of the operating system execute over hardware provided in a hosting environment, or inside virtual machines 114 b that decouple applications and services from the hardware on which the virtual machines 114 b have been deployed. The workload management system may further employ a standardized image for the virtual machines 114 b, provide metadata wrappers for encapsulating the virtual machines 114 b, and provide various tools for managing the virtual machines 114 b (e.g., “zero residue” management agents that can patch and update running instances of virtual machines 114 b stored in the clustered file system 195, databases 155, or other repositories).
  • In one implementation, the virtualized services provided in the workload management system may simplify processes for developing and deploying applications, which may enable optimal utilization of physical resources 114 a in the infrastructure. Furthermore, virtualization may be used to certify the Linux operating environments employed in the infrastructure 110 for any suitable platform that include various physical resources 114 a. In particular, as described in further detail above, the workload management system may partition the Linux operating environments into a multiple-layer distribution that includes a physical distribution and a virtual distribution, wherein the physical distribution may represent a lower-level interface to physical resources 114 a that host virtual machines 114 b, while the virtual distribution may represent any applications or services hosted on the virtual machines 114 b.
  • For example, in one implementation, the physical distribution may include a minimally functional kernel that bundles various base drivers and/or independent hardware vendor drivers matched to the physical resources 114 a that host the virtual machines 114 b. In one implementation, the physical distribution may further include a pluggable hypervisor that enables multiple operating systems to run concurrently over the hosting physical resources 114 a, a minimal number of software packages that provide core functionality for the physical distribution, and one or more of the zero residue management agents that can manage any virtualized resources 114 b that may be hosted on the physical resources 114 a. As such, in response to any particular request to install a physical distribution, package selections available to the workload management system may include packages for the kernel, the hypervisor, the appropriate drivers, and the management agents that may be needed to support brands or classes of the underlying physical resources 114 a.
  • Furthermore, in one implementation, the virtual distribution may include a tuned appliance, which may generally encapsulate an operating system and other data that supports a particular application. In addition, the virtual distribution may further include a workload profile encapsulating various profiles for certifying the appliance with attestation tokens (e.g., profiles for resources 114, applications, service level agreements, inventories, cost, compliance, etc.). Thus, the virtual distribution may be neutral with respect to the physical resources 114 a included in the physical distribution, wherein the virtual distribution may be managed independently from any physical drivers and applications hosted by a kernel for the virtual distribution (e.g., upgrades for the kernels and physical device drivers used in the physical distributions may be managed independently from security patches or other management for the kernels and applications used in the virtual distributions). Thus, partitioning the physical distributions from the virtual distributions may remove requirements for particular physical resources 114 a and preserve records for data that may require a specific application running on a specific operating system.
  • In one implementation, from a business perspective, the workload management system may secure the virtualized resources 114 b in a similar manner as applications deployed on the physical resources 114 a. For example, the workload management system may employ any access controls, packet filtering, or other techniques used to secure the physical resources 114 a to enforce containment and otherwise secure the virtualized resources 114 b, wherein the virtualized resources 114 b may preserve benefits provided by running a single application on a single physical server 114 a while further enabling consolidation and fluid allocation of the physical resources 114 a. Furthermore, the workload management system may include various information technology tools that can be used to determine whether new physical resources 114 a may be needed to support new services, deploy new virtual machines 114 b, and establish new virtual teams that include various collaborating entities.
  • In one implementation, the information technology tools may include a trending tool that indicate maximum and minimum utilizations for the physical resources 114 a, which may indicate when new physical resources 114 a may be needed. For example, changes to virtual teams, different types of content, changes in visibility, or other trends for the virtualized resources 114 b may cause changes in the infrastructure 110, such as compliance, storage, and fault tolerance obligations, wherein the workload management system may detect such changes and automatically react to intelligently manage that the resources 114 in the infrastructure 110. In one implementation, the information technology tools may further include a compliance tool providing a compliance envelope for applications running or services provided within any suitable virtual machine 114 b. More particularly, the compliance envelope may save a current state of the virtual machine 114 b at any suitable time and then push an updated version of the current state to the infrastructure 110, whereby the workload management system may determine whether the current state of the virtual machine 114 b complies with any policies that may have been defined for the virtual machine 114 b. For example, the workload management system may support deploying virtual machines 114 b in demilitarized zones, cloud computing environments, or other data centers that may be remote from the infrastructure 110, wherein the compliance envelope may provide a security wrapping to safely move such virtual machines 114 b and ensure that only entities with approved identities can access the virtual machines 114 b.
  • Thus, from an architectural perspective, the virtualized resources 114 b may enable the workload management system to manage development and deployment for services and applications provisioned in the infrastructure 110. For example, rather than dynamically provisioning physical resources 114 a to deal with transient peaks in load and availability on a per-service basis, which may result in under-utilized physical resources 114 a, the workload management system may host multiple virtual machines 114 b on one physical machine 114 a to optimize utilization levels for the physical resources 114 a, which may dynamically provisioned physical resources 114 a that enable mobility for services hosted in the virtual machines 114 b. Thus, in one implementation, mobile services may enable the workload management system to implement live migration for services that planned maintenance events may impact without adversely affecting an availability of such services, while the workload management system may implement clustering or other availability strategies to address unplanned events, such as hardware or software failures.
  • In one implementation, the workload management system may further provide various containers to manage the virtual machines 114 b, wherein the containers may include a security container, an application container, a service level agreement container, or other suitable containers. The security container may generally provide hardware-enforced isolation and protection boundaries for various virtual machines 114 b hosted on a physical resource 114 a and the hypervisor hosting the virtual machines 114 b. In one implementation, the hardware-enforced isolation and protection boundaries may be coupled with a closed management domain to provide a secure model for deploying the virtual machines 114 b (e.g., one or more security labels can be assigned to any particular virtual machine 114 b to contain viruses or other vulnerabilities within the particular virtual machine 114 b). Furthermore, in the context of tuned appliances, wherein one virtual machine 114 b hosts one service that supports one particular application, the application container may package the service within a particular virtual machine image 114 b. As such, the virtual machine image 114 b may include a kernel and a runtime environment optimally configured and tuned for the hosted service. Similarly, the service level agreement container may dynamically monitor, meter, and allocate resources 114 to provide quality of service guarantees on a per-virtual machine 114 b basis in a manner transparent to the virtual machine kernel 114 b.
  • In one implementation, the various containers used to manage the virtual machines 114 b may further provide predictable and custom runtime environments for virtual machines 114 b. In particular, the workload management system may embed prioritization schemes within portions of an operating system stack associated with a virtual machine 114 b that may adversely impact throughput in the operating system. For example, unbounded priority inversion may arise in response to a low-priority task holding a kernel lock and thereby blocking a high-priority task, resulting in an unbounded latency for the high-priority task. As such, in one implementation, the prioritization schemes may embed a deadline processor scheduler in the hypervisor of the virtual machine 114 b and build admission control mechanisms into the operating system stack, which may enable the workload management system to distribute loads across different virtual machine 114 b and support predictable computing. In addition, the workload management system may decompose kernels and operating systems for virtual machines 114 b to provide custom runtime environments. For example, in the context of a typical virtual machine 114 b, an “unprivileged guest” virtual machine 114 b may hand off processing to a “helper” virtual machine 114 b at a device driver level. Thus, to support server-class applications that may depend on having a portable runtime environment, the workload management system may use the decomposed kernels and operating systems to dynamically implement an operating system for a particular virtual machine 114 b at runtime (e.g., the dynamically implemented operating system may represent a portable runtime that can provide a kernel for a virtual machine 114 b that hosts a service running a server-class application, which may be customized as a runtime environment specific to that service and application).
  • In one implementation, the workload management system may further employ different virtualization technologies in different operating environments. For example, in one implementation, the workload management system may implement Type 1 hypervisors for virtualized server resources 114 b and Type 2 hypervisors for virtualized workstation, desktop, or other client resources 115. In particular, Type 1 hypervisors generally control and virtualize underlying physical resources 114 a to enable hosting guest operating systems over the physical resources 114 a (e.g., providing coarse-level scheduling to partition the physical resources 114 a in a manner that can meet quality of service requirements for each of the guest operating systems hosted on the physical resources 114 a). Thus, the workload management system may implement Type 1 hypervisors for virtualized server resources 114 b to leverage performance and fault isolation features that such hypervisors provide. In contrast, Type 2 hypervisors generally include use a host operating system as the hypervisor, which use Linux schedulers to allocate resources 114 to guest operating systems hosted on the hypervisor. In Type 2 hypervisor architectures, such as the VMware GSX Server, Microsoft Virtual PC, and Linux KVM, hosted virtual machines 114 b appear as a process similar to any other hosted process. Thus, because workstations, desktops, and other client resources 115 may include hardware that may or may not support virtualization, the workload management system may provide centralized desktop management and provisioning using Type 2 hypervisors. For example, the workload management system may manage and maintain desktop environments as virtual appliances 114 b hosted in the infrastructure 110 and then remotely deliver the desktop environments to remote client resources 115 (e.g., in response to authenticating an end user at a particular client resource 115, the virtual appliance 114 b carrying the appropriate desktop environment may be delivered for hosting to the client resource 115, and the client resource 115 may transfer persistent states for the desktop environment to the infrastructure 110 to ensure that the client resource 115 remains stateless).
  • In one implementation, orchestrated virtualization may generally refer to implementing automated policy-based controls for virtualized services. For example, an orchestrated data center may ensure compliance with quality of service agreements for particular groups of users, applications, or activities that occur in the information technology infrastructure 110. The workload management system may therefore provide a policy-based orchestration service to manage virtualized resources 114 b, wherein the orchestration service may gather correct workload metrics without compromising performance in cloud computing environments or other emerging service delivery models. For example, workloads that users define may be executed using coordinated sets of virtual machines 114 b embedding different application-specific operating systems, wherein the workload management system may provision and de-provision the virtual machines 114 b to meet requirements defined in the workload (e.g., using standard image formats and metadata wrappers to encapsulate the workloads, embed standard hypervisors in the virtual machines 114 b, physical-to-virtual (P2V) or virtual-to-virtual (V2V) conversion tools to translate between different image formats, etc.). Furthermore, in cloud computing environments that can include unpredictable sets of dynamic resources external to the infrastructure 110, the workload management system coordinate such resources using a closed-loop management infrastructure 170 that manages declarative policies, fine-grained access controls, and orchestrated management and monitoring tools.
  • In one implementation, the workload management system may further manage the orchestrated data center to manage any suitable resources 114 involved in the virtualized workloads, which may span multiple operating systems, applications, and services deployed on various physical resources 114 a and/or virtualized resources 114 b (e.g., a physical server 114 a and/or a virtualized server 114 b). Thus, the workload management system may balance resources 114 in the information technology infrastructure 110, which may align management of resources 114 in the orchestrated data center with business needs or other constraints defined in the virtualized workloads (e.g., deploying or tuning the resources 114 to reduce costs, eliminate risks, etc.). For example, as described in further detail above, the configuration management database 185 a may generally describe every resource 114 in the infrastructure 110, relationships among the resources 114, and changes, incidents, problems, known errors, and/or known solutions for managing the resources 114 in the infrastructure 110.
  • As such, the policy-based orchestration service may provide federated information indexing every asset or other resource 114 in the infrastructure 110, wherein the workload management system may reference the federated information to automatically implement policy-controlled best practices (e.g., as defined in the Information Technology Infrastructure Library) to manage changes to the infrastructure 110 and the orchestrated data center. For example, the configuration management database 185 a may model dependencies, capacities, bandwidth constraints, interconnections, and other information for the resources 114 in the infrastructure 110, which may enable the workload management system to perform impact analysis, “what if” analysis, and other management functions in a policy-controlled manner. Furthermore, as noted above, the configuration management database 185 a may include a federated model of the infrastructure 110, wherein the information stored therein may originate from various different sources. Thus, through the federated model, the configuration management database 185 a may appear as one “virtual” database incorporating information from various sources without introducing overhead otherwise associated with creating one centralized database that potentially includes large amounts of duplicative data.
  • In one implementation, the orchestration service may automate workloads across various physical resources 114 a and/or virtualized resources 114 b using policies that match the workloads to suitable resources 114. For example, deploying an orchestrated virtual machine 114 b for a requested workload may include identifying a suitable host virtual machine 114 b that satisfies any constraints defined for the workload (e.g., matching tasks to perform in the workload to resources 114 that can perform such tasks). In response to identifying allocating and deploying the suitable host virtual machine 114 b, deploying the orchestrated virtual machine 114 b for the workload may include the workload management system positioning an operating system image on the host virtual machine 114 b, defining and running the orchestrated virtual machine 114 b on the chosen host virtual machine 114 b, and then monitoring, restarting, or moving the virtual machine 114 b as needed to continually satisfy the workload constraints.
  • In one implementation, the orchestration service may include various orchestration sub-services that collectively enable management over orchestrated workloads. For example, the orchestration service may be driven by a blueprint sub-service that defines related resources 114 provisioned for an orchestrated workload, which the workload management system may manage as a whole service including various different types of resources 114. Furthermore, a change management sub-service may enable audited negotiation for service change requests, including the manner and timing for committing the change requests (e.g., within an approval workload 130). The sub-services may further include an availability management sub-service that can control and restart services in a policy-controlled manner, a performance management sub-service that enforces runtime service level agreements and policies, a patch management sub-service that automatically patches and updates resources 114 in response to static or dynamic constraints, and a capacity management sub-service that can increase or reduce capacities for resources 114 in response to current workloads.
  • To provide exemplary contexts for some of the orchestration sub-services noted above, the availability management sub-service may automatically migrate a virtual machine 114 b to another physical host 114 a in response to a service restart failing on a current physical host 114 a more than a policy-defined threshold number of times. With respect to the performance management sub-service, in response to determining that a service running at eighty percent utilization can be cloned, the service may be cloned to create a new instance of the service and the new instance of the service may be started automatically. Furthermore, to manage a patch for running instances of a service, the patch management sub-service may test the patch against a test instance of the service and subsequently apply the patch to the running service instance in response to the test passing. Regarding the capacity management sub-service, an exemplary service instance may include a service level agreement requiring a certain amount of available storage for the service instance, wherein the capacity management sub-service may allocate additional storage capacity to the service instance in response to determining that the storage capacity currently available to the service instance has fallen below a policy-defined threshold (e.g., twenty percent).
  • In one implementation, the orchestration service may incorporate workflow concepts to manage approval workloads 130 or other management workloads, wherein a workload database 185 b may store information that the workload management system can use to manage the workloads. For example, in one implementation, an approval workload 130 may include a request to provision a particular service to a particular user in accordance with particular constraints, wherein the approval workload 130 may include a sequence of activities that includes a suitable management entity reviewing the constraints defined for the service, determining whether any applicable policies permit or prohibit provisioning the service for the user, and deploying the service in response to determining that the service can be provisioned, among other things. Thus, the workload engine 180 a may execute the orchestration service to map the sequence of activities defined for any particular workload to passive management operations and active dynamic orchestration operations. For example, the workload database 185 b may stores various declarative service blueprints that provide master plans and patterns for automatically generating service instances, physical distribution images and virtual distribution images that can be shared across the workload management system to automatically generate the service instances, and declarative response files that define packages and configuration settings to automatically apply to the service instances.
  • Collaboration
  • In one implementation, as noted above, the technologies integrated by the model-driven architecture 100A and the service-oriented architecture 100B may enable collaboration between entities that interact with the services provided in the information technology infrastructure 110. In particular, collaboration may generally involve dynamic teams that cross traditional security and policy boundaries. For example, where loosely affiliated organizations share data and applications, the workload management system may enable continued collaboration even when some of the participants sharing the data and applications may be temporarily offline (e.g., the workload management system may authorize certain users to allocate portions of local client resources 115 to support cross-organizational endeavors). Thus, the workload management system may provide a standard interface 160 designed to enable dynamic collaboration for end users that simplify interaction with complex systems, which may provide organizations with opportunities for more productive and agile workloads.
  • In one implementation, the workload management system may provide a collaboration service that enables workloads to span multiple users; applications, services, systems, or other resources 114. For example, multiple users may collaborate and share data and other resources 114 throughout the workload management system, both individually and within virtual teams (e.g., via a service bus that transports data relating to services or other resources 114 over the event bus 140). As such, the workload management system may support virtual team creation that can span organizational and geographic boundaries, wherein affiliations, content, status, and effectiveness may be represented for identities that have membership in any particular virtual team (e.g., to enable online and offline interaction between team members). In one implementation, the workload management system may provide enriched collaboration content (e.g., images, video, text, data feeds), and may efficiently transport the collaboration content between team members (e.g., via the service bus). Furthermore, the workload management system may integrate desktops, laptops, personal digital assistants, smart phones, or other suitable client resources 115 into virtual team collaboration experiences in order to meet emerging demands for mobile, interoperable, and integrated access. Thus, the collaboration enabled in the workload management system may operate in an adaptive collaborative environment, which may unify technologies for online integrated media sharing with offline authoring and editing.
  • In one implementation, the collaboration service may generally include a web-based platform that support inter-organization and intra-organization management for virtual teams, interoperability between various different collaboration products, social networking to deliver information that enables the virtual teams to interact efficiently either online or offline, and federated searches against any suitable information source, among other things. For example, in one implementation, the collaboration service may include various collaboration sub-services that collectively enable the adaptive collaborative environment, including a client sub-service, an aggregation sub-service, an information sub-service, a real-time collaboration sub-service, and a metadata sub-service.
  • In one implementation, the client sub-service may provide communication interfaces with real-time online systems, offline systems, and user interfaces. In particular, functionality for the client sub-service may be provided in a web-based interface that supports interaction with the real-time online systems in addition to software that can execute locally at client resources 115 to provide offline access to shared data and real-time meetings that may involve shared applications and shared desktops. For example, in one implementation, the client sub-service may communicate with the aggregation sub-service to coordinate the communication and collaboration across various information sources, wherein the aggregation sub-service may route messages to the appropriate information sources in appropriate formats. Furthermore, to ensure that collaborative contexts reference information that may be distributed across the infrastructure 110 rather than hosted within one particular application, the information sub-service may integrate the different information sources within the collaborative environment. As such, the virtual teams may connect and collaborate using information that originates anywhere across the infrastructure 110, and the information sub-service may enable members of the virtual teams to discuss information or other content from the various sources in an interactive manner. The real-time collaboration sub-service may interact with the information sub-service to provide real-time meetings that include audio content, video content, instant message content, and other forms of communication content in real-time collaborative contexts within the infrastructure 110 and with third-parties.
  • In one implementation, the metadata sub-service may provide a “helper” service to the aggregation and information sub-services, collecting ancillary metadata generated during interaction between virtual team members and create collaborative threads to maintain contexts that generated the data. Furthermore, the metadata sub-service may evaluate the ancillary metadata to discover new and relevant links between information sources and integrate data that can potentially originate from various disparate information sources. For example, the metadata sub-service may provide a uniform format for classifying data collected during collaborative contexts, which may provide a single source for virtual team members to search and display the data across any suitable collaboration source. Similarly, the metadata sub-service may index and unify data collected from disparate network sources, including various search engines and content aggregation services, to help the virtual team members to locate information that may be interesting or otherwise relevant to the collaborative contexts. As such, the various sub-services integrated within the collaboration service may provide a collaborative environment that supports dynamic interaction across organizational boundaries and different information sources in a manner that can account for any particular virtual team member's personal preferences.
  • Architectural Agility
  • In one implementation, as noted above, the technologies integrated by the model-driven architecture 100A and the service-oriented architecture 100B may collectively provide various services that the workload management system can use to manage workloads and enable intelligent choices in an information technology infrastructure 110. Furthermore, various horizontal integration components may be distributed in the workload management system to integrate the various technologies employed in the model-driven architecture 100A and the service-oriented architecture 100B and provide an agile and interoperable information technology infrastructure 110.
  • In particular, the horizontal integration components distributed across the workload management system may provide agility and interoperability to the information technology infrastructure 110 through support for various emerging service delivery models, including Web 2.0, Software as a Service (SaaS), mashups, hardware, software, and virtual appliances, cloud computing, grid computing, and thin clients, among others. For example, in one implementation, every service, application, or other resource 114 in the workload management system may be provided with an application programming interface 160 that can provide connectivity between different operating systems, programming languages, graphical user interface toolkits, or other suitable services, applications, or resources 114.
  • In one implementation, the application programming interface 160 may include a Representational State Transfer (REST) application program interface 160, which may use standard methods defined in the Hypertext Transfer Protocol (HTTP), wherein using standardized types to format data may ensure interoperability. In one implementation, the REST interface 160 may define a Uniform Resource Identifier (URI) that represents a unique identity for any suitable entity, and may further define relationships between the represented identities with hyperlinks that can be selected to access information for related identities, attribute claims, roles, policies, workloads, collaboration spaces, and workflow processes. Thus, through the use of URIs, hyperlinks, and other standard HTTP methods, the REST interface 160 may provide an interface to a data ecosystem that can be navigated in a web-based environment that can be used anywhere in the workload management system. In one implementation, the REST interface 160 may declare a namespace having version controls and standard methods to read and write to the data ecosystem, and may include a URI registry containing the URIs that represent the identities in the data ecosystem. Thus, any suitable resource 114 may programmatically discover other identities that communicate using the REST interface 160 (e.g., the REST interface 160 may be implemented in a communication gateway 112 a to physical resources 114 a, a communication gateway 112 b to virtualized resources 114 a, a communication gateway 112 c to configuration resources 114 c, etc.).
  • Furthermore, in one implementation, the workload management system may extend an application program interface stack for the supplied REST interface 160, which may enable new services, applications, and other resources 114 to be integrated into the workload management system in a manner that automatically inherits the identity-based and policy-controlled services implemented in the workload management system. In particular, the supplied application program interface stack may generally include a unified adapter and a proxy to existing and future technologies using protocols to enable services that communicate through the REST interface 160 regardless of whether the services reside in the infrastructure 110, a cloud computing environment, a third party data center, or elsewhere (e.g., web service protocols, lightweight directory protocols, messaging queue protocols, remote procedure call protocols, etc.). To provide support to developers and users that extend the application program interface stack supplied for the REST interface 160, a Recipe-based Development Kit (RDK) may provide full source code examples for various operating systems, programming languages, and graphical user interface toolkits.
  • Additionally, in one implementation, the workload engine 180 a may manage creation of application program interface keys for the REST interface 160 stack, whereby auditing and policy-based approvals may be supported for provisioning the application program interface keys. For example, the workload management system may deploy widgets to client desktops 115, wherein the widget may track identities and contexts that include attempts to access the REST interface 160 stack. Thus, in response to provisioning or auditing application program interface keys, platform authentication and policy checks may be triggered against the accessing identity and the context that the keys supply. In a similar manner, the application program interface keys may enable the workload management system to meter costs for the information technology infrastructure 110.
  • Thus, the standardized stack supplied for the REST application program interface 160 may provide support for industry standard authentication and authorization methods, which may enable identity-managed and policy-controlled auditing for events and access controls. Furthermore, the extensibility of the REST application program interface 160 may enable integration with any suitable existing or future-developed system. For example, in one implementation, the REST interface 160 may be configured with standards such as the Atom Syndication Format and Atom Publishing Protocol to integrate feed synchronization, JavaScript Object Notation and Extensible. Markup Language (XML) to integrate enterprise portals, mashups, and social networking platforms. Thus, in the context of feed synchronization to provide automatically notifications in response to any changes to a particular resource 114, a user may simply enter a URI for the resource 114 in an existing web browser feed aggregator (e.g., Firefox bookmarks). Thus, by providing extensible support for any suitable system, application, service, or other resources 114, the features of the REST application program interface 160 may provide agility and interoperability to the infrastructure 110.
  • Having described the model-driven and service-oriented architecture 100A-B that collectively provide the agile, responsive, reliable, and interoperable environment that enables the features of the workload management system, the description to be provided below will address certain particular features of the workload management system. In addition, further detail relating to the architectural foundation and other features of the workload management system may be provided in “Novell Architectural Foundation: A Technical Vision for Computing and Collaborating with Agility,” “Automation for the New Data Center,” and “A Blueprint for Better Management from the Desktop to the Data Center,” the contents of which are hereby incorporated by reference in their entirety.
  • According to one aspect of the invention, FIG. 2 illustrates an exemplary method 200 for intelligent workload management. In particular, the intelligent workload management method 200 may be used to manage approval workloads created in response to service requests. In particular, an operation 210 may include creating an approval workload in response to a receiving a request for a service from any suitable user, application, system, or other entity having an identity in the workload management system. For example, in one implementation, the request may generally specify any components needed to configure the service for a particular task (e.g., a raw machine hosting an operating system and storage may be requested to deploy a particular application in the raw machine, an existing service may be requested to specify any suitable combination of components that can deploy the application, etc.). In addition, the request may further specify desired a performance level (or service level) for the service (e.g., availability, release capacity, financial constraints, continuity, etc.), any comments for provisioning the service in a certain manner (e.g., provision the service as soon as possible, according to a particular schedule or policy, to particular members in a virtual team, with a particular configuration, etc.).
  • Thus, in one implementation, the request may generally include any suitable criteria that the requesting entity specifies to define constraints for deploying the requested service, wherein the workload management system may create the approval workload in operation 210 to determine whether or not the requested service can be provisioned in a manner that meets the constraints defined in the request. For example, in one implementation, the approval workload may generally define a task that includes various human and/or automated approvers (or service delivery managers) collaboratively managing the service request to determine whether the service can be provisioned as requested. Thus, to manage the approval workload, an operation 220 may include the workload management system querying a configuration management database to obtain an infrastructure model describing any computing resources and storage resources available to run the requested service.
  • In one implementation, the model of the computing resources obtained in operation 220 may include various rack-mounted servers and/or blade servers, which may include multi-core processors (e.g., sixty-four bit processors), a multiple gigabyte local memory, a serial-attached Redundant Array of Independent Disks (RAID), Ethernet and Storage Area Network (SAN) interfaces, and embedded hardware that can support virtualization. In addition, the computing resources may further run an appropriate operating system for the underlying physical architecture, including a virtual machine monitor (e.g., a hypervisor), various device drivers, a management kernel, and any suitable management agents. In one implementation, the management kernel and the management agents may collectively provide support for remotely deploying virtual machines to be executed by the hypervisors present on the computing resources, which may enable the workload management system to group and organize the computing resources. For example, a globally unique identifier (e.g., a URI) may be created for each of the computing resources, whereby the computing resources may be grouped or otherwise organized according to any suitable combination of a type (e.g., thin blade, symmetric multiprocessing, etc.), intended purpose (e.g., test, production, etc.), owner, physical location, or other classifying types. Furthermore, the workload management system may configure one or more of the computing resources to function in isolation or cooperatively with other computing resources to create high-availability clusters.
  • In one implementation, the model of the storage resources obtained in operation 220 may include various SAN disk-block storage arrays and/or file servers, whereby the storage resources may be collectively pooled and protected with identity-based policy controls. In one implementation, the computing resources described above may access the storage resources on behalf of virtual machines deployed in the infrastructure, wherein the storage resources may be individually managed during lifecycles of the virtual machines in a dynamic manner. Furthermore, the workload management system may group and organize the storage resources in a similar manner as the computing resources, wherein the workload management system may manage the storage resources according to any suitable combination of a type (e.g., available RAID-5 disks), intended purpose (e.g., temporary, protected, remotely replicated, etc.), owner, physical location, or other classifying types.
  • In one implementation, the model of the computing resources and the storage resources obtained in operation 220 may further include various relationships between the resources, wherein the relationships may include dependencies, capacities, and bandwidth requirements. For example, any particular virtual, machine deployed in the infrastructure may generally run on physical computing resources, wherein the model may include federated information that links a network address, identities, and other information for the virtual machine with any computing resources and storage resources that have been allocated to the virtual machine, which may enable lifecycle management for the virtual machine. Thus, the configuration management database may generally provide federated knowledge detailing any suitable entity managed in the workload management system and relationships between such managed entities.
  • In one implementation, in response to querying the configuration management database in operation 220 to obtain the current model of the infrastructure, an operation 225 may determine whether the workload management system can provision the service requested in the approval workload in a manner that meets any constraints that the request defined for the service. In particular, the workload management system may determine whether the infrastructure model indicates that the infrastructure has available computing resources and storage resources suitable to provision the requested service. Furthermore, the workload management system may employ the identity management and policy enforcement services to determine whether the service can be provisioned to the requesting entity without violating any relevant policies. For example, to authenticate and configure a desktop machine for a chief financial officer, a biometric authorization component (e.g., a fingerprint reader) may be installed in the desktop machine. Thus, the identity management and policy enforcement services may collectively prohibit the workload management system from deploying services to the desktop machine that would add a keystroke logger, remove the biometric authorization component, or violate another policy with respect to the chief financial officer identity. In another example, requests for Bit Torrent storage may be denied regardless of an identity for the requesting identity because a policy prohibits peer-to-peer file sharing.
  • Thus, in response to the workload management system determining in operation 225 that the requested service cannot be provisioned in accordance with the constraints defined in the request (e.g., because the infrastructure lacks sufficient computing resources and/or storage resources to support the service, the requested service violates a relevant policy with respect to an identity for the requesting entity, etc.), the workload management system may deny the request and send an appropriate denial notification to the requesting entity in an operation 230. For example, the denial notification may provide a reason for denying the service request, which may provide information that can be referenced to analyze subsequent requests having similar criteria, modify the request based on available resources or relevant policies, audit approval processes in a compliance review, or otherwise referenced.
  • On the other hand, in response to determining in operation 225 that the requested service can be provisioned in accordance with the requested constraints (e.g., because the infrastructure has sufficient computing resources and storage resources to support the service, the requested service does not violate any policies with respect to the identity for the requesting entity, etc.), the workload management system may approve the request and then initiate provisioning for the service in an operation 235. In particular, in response to approving the request, the workload management system may reserve appropriate physical computing resources, virtual computing resources, and/or storage resources to run the service, wherein operation 235 may include determining whether such resources can be automatically and/or immediately allocated. For example, certain workloads may be prioritized to ensure that business objectives can be met, wherein the workload management system may defer the approval workload in operation 235 in response to determining that allocating the resources to the approval workload may occupy resources needed for higher priority workloads (e.g., because the reserved resources are currently subject to a “blackout” period for patching or updating the resources).
  • As such, in response to determining that the resources reserved to the service cannot be provisioned automatically and/or immediately, the workload management system may manage creation of a provisioning plan for the service in an operation 240. In particular, operation 240 may include various automated and/or human entities interacting to create the provisioning plan, wherein the provisioning plan may include pre-empting the approval workload until workloads in a high priority queue have completed, moving the approval workload to the high priority queue, dynamically allocating additional resources to the approval workload (e.g., pre-empting lower priority workloads), or otherwise balancing utilization of the resources in the infrastructure between business processes and system processes that may have, different priorities. Furthermore, in one, implementation, the workload management system may coordinate the interaction between the entities that create the provisioning plan in operation 240 (e.g., because the service cannot be provisioned until a certain process has completed, a certain entity provides feedback, etc.). As such, operation 240 may generally include various processes and interactions between entities, which the workload management system may manage to create the plan for suitably provisioning the approved service.
  • In one implementation, in response to determining that the resources reserved to the service can be provisioned automatically and immediately, or alternatively in response to successfully creating the provisioning plan for the service in operation 240, the workload management system may provision the requested service in an operation 250. In particular, operation 250 may include allocating an operating system image, a resource inventory, and software to an orchestrated virtual machine that can run the service and embedding lifecycle control information within the orchestrated virtual machine to enable management for the virtual machine and the computing resources allocated to the service. In one implementation, one or more of the computing resources in the infrastructure may be configured as an image creation server, wherein the image creation servers may be dedicated to creating and installing virtual machines in various ways. For example, in a large information technology infrastructure that frequently creates virtual machine instances, multiple image creation servers may be employed to create and install the virtual machines, or one or more of the image creation servers may be configured to create “in-place” virtual machines, wherein such virtual machines may be incubated on particular computing resources that further execute the virtual machines.
  • Thus, in one implementation, operation 250 may include invoking an image creation service, which may create a virtual machine image to run the requested service. For example, the image creation service may contact an image repository that contains various ready-to-run virtual machine images, and then appropriately download one or more of the virtual machine images that can run the requested service. The image creation service may then clone and configure the virtual machine image downloaded from the image repository based on any constraints that the request defines for the service. As such, operation 250 may generally include creating a new virtual machine having an operating system image, external storage references, and control information particularly configured for the requested service (e.g., based on identities, policies, service level agreements, lifecycle management, etc.), and may further include deploying the newly created virtual machine to computing resources that have been reserved to run the requested service. Alternatively (or additionally), the image creation service may provide a push model for deploying the virtual machine image, wherein the image creation service may instruct the image repository to multi-cast the image to multiple computing resources. Thus, the push model implementation may pre-stage the multi-casted virtual machine image for deployment over various potential deployment targets.
  • In one implementation, in response to successfully provisioning the service in operation 250, the workload management system may update the infrastructure model in an operation 260. For example, any resources, identities, policies, or other information associated with the provisioned service may be indexed within a global namespace in the federated configuration management database. As such, the workload management system may reference the updated infrastructure model to track registered virtual machines that have been provisioned and deployed in the infrastructure, hierarchical relationships between the registered virtual machines and the resources, identities, policies, or other information associated with the virtual machines, and otherwise provide lifecycle management for the virtual machines, as will be described in greater detail below. Furthermore, an operation 270 may include the workload management system sending a service provisioning notification to the requesting entity, wherein the notification sent in operation 270 may indicate that the service has been successfully provisioned, provide information that can be referenced to analyze subsequent requests having similar criteria, audit approval processes in a compliance review, or otherwise provide information relevant to the provisioned service.
  • In one implementation, the workload management system may manage the provisioned service in an operation 280 in response to successfully provisioning the service in operation 250. In particular, as noted above, updating the infrastructure model in operation 260 may provide information that the workload management system can reference to provide lifecycle management for services provisioned and deployed in the infrastructure. For example, various lifecycle rules and control information may be used to respond to variable computing demands, changes, and unexpected events in the infrastructure, wherein services that run within virtual machines may introspectively monitor and report on health of the hosted services. Thus, the provisioned service may be managed in operation 280 with the lifecycle control information embedded in the host virtual machines (e.g., monitoring real-time execution states and other health conditions, automatically managing identities and policies in response to monitored health conditions, retiring resources reserved or allocated the virtual machine that may no longer be needed, etc.).
  • In addition, the workload management system may cooperate with the lifecycle controls embedded in the host virtual machines to manage the provisioned service. In particular, the workload management system may aggregate information relating to the monitored states reported from individual virtual machine instances and record such information within a context describing a current state of the infrastructure model. Thus, physical constraints, dependencies, current performance trends, and other real-time execution states may be monitored to schedule virtual machines that run provisioned services to computing resources for execution in a manner that satisfies any identity constraints, policy controls, service level agreements, or other constraints that have been defined for the services. For example, operation 280 may include applying policy-defined thresholds to any status events generated by the monitored computing resources, storage resources, virtual machines, or other resources (e.g., responding to a monitored variable that exceeds or falls below a policy-defined threshold for more than a policy-defined time period). In another example, operation 280 may further include managing version controls for virtual machine images, which may provide support for inserting management agents that can tune or patch the virtual machine images as needed, and rolling the virtual machine images back to a “pristine” state, among other things.
  • Thus, the techniques described above the intelligent workload management method 200 may generally provide lifecycle management from creating a virtual machine image that can host a requested service through eventual retirement of the virtual machine image. Moreover, in addition to introspective health monitoring and maintenance for individual virtual machine images, the lifecycle management techniques may provide federated information for managing an entire information technology infrastructure, which may be used to assure compliance with legal and contractual obligations for any suitable hardware or software that an organization may use, create detailed plans for implementing or rolling back proposed changes to the infrastructure, detect, resolve, and otherwise remediate, incidents in the infrastructure, reactively and proactively manage problems in the infrastructure with known workarounds, fixes, and permanent infrastructure changes, and ensure that every service in the infrastructure meets or exceeds service level requirements, among other things.
  • According to one aspect of the invention, FIG. 3 illustrates an exemplary block diagram of a system 300 for generating single sign-on workload identities, while FIG. 4 illustrates an exemplary flow diagram of a method 400 that may operate in the system 300 for generating single sign-on workload identities. Thus, the description to be provided herein for FIG. 3 or FIG. 4 will be understood as corresponding to techniques that can be performed in the system 300 shown in FIG. 3 or the method 400 shown in FIG. 4, whether or not explicitly described.
  • In one implementation, generating single sign-on workload identities may generally include creating an authentication token that defines various credentials or permissions assigned to any suitable user, application, system, service, resource, or other entity having an identity managed in the workload management system. More particularly, an operating system that executes services or other applications on a client device 315 may generally maintain various authentication credentials for any identities managed locally to the operating system, or the operating system may contact an authentication server 320 to obtain authentication credentials for any single sign-on identities that the operating system does not locally manage. In one implementation, the authentication server 320 may therefore provide a single sign-on identity source that contains authentication credentials for every managed entity, wherein single sign-on identity management may be provided for any suitable workload managed in the workload management system.
  • For example, in one implementation, the system and method for generating single sign-on workload identities may be used to generate single sign-on authentication tokens, wherein a workload engine 380 may reference the single sign-on authentication tokens to provide identity management for any suitable service request (e.g., to verify that an entity that requests a new service has proper authorization prior to actually provisioning the new service, to verify that an entity that requests access to an existing service has proper authorization prior to granting access to the service, etc.). For example, in one implementation, the authentication server 320 (e.g., Novell Access Manager) may communicate with an identity vault 325 that organizes user accounts, roles, policies, and other identity information within various directories. Thus, as shown by communication element 1 in FIG. 3 (or operation 410 in FIG. 4), any suitable entity may submit an authentication request to the authentication server 320, wherein the authentication request may include single sign-on authentication credentials (e.g., a user name, identifier, password, smart card input, biometric input, etc.).
  • In one implementation, communication element 2 may then include the authentication server retrieving the authentication credentials for the requesting entity from the federated identity information stored in the identity vault 325. In an operation 420 (and communication element 3), the authentication server may then generate an authentication token for the requesting entity from the authentication credentials retrieved from the identity vault 325, wherein the authentication token may represent a portable data abstraction that encapsulates any authoritative attribute, active role, valid policy, or other access credential for the entity associated with the authorization token. As such, the authorization token may mask any underlying credential authentication, identity federation, and attribute attestation, wherein the authorization token may be referenced to obtain authoritative statements that indicate whether to authorize or deny any suitable request received from the entity associated with the authorization token. Furthermore, as shown by communication element 4 in FIG. 3, the authentication token may be returned to the client device 315 that originated the request, whereby any operating systems, applications, services or other resources on the client device 315 that require authentication credentials may use the authentication token to authenticate or deny local requests received from the entity associated with the authorization token.
  • In one implementation, the workload management system may include a workload engine 380 that can use authentication tokens generated by the authentication server 320 to manage workloads that include service requests. Furthermore, the workload engine 380 may use authentication tokens for various entities that may be represented in multiple different authentication domains, which may enable workloads to function across different organizational boundaries. In particular, an operation 430 (or communication element 5) may include receiving a workload that defines a particular service requested by the entity operating the client device 315, wherein the entity may specify various additional entities that may need access to the requested service. As such, an operation 440 (or communication element 6) may include the workload engine 380 managing the workload to obtain authentication tokens for the requesting entity in addition to authentication tokens for any additional entities specified in the request. Furthermore, as noted above, the entities managed in the workload management system may define various types of customized identities, such that the authentication tokens obtained in operation 440 (and communication element 6) may represent authentication credentials for any suitable combination of identities that represent the requesting entity and/or the various additional entities (e.g., identities providing limited or complete anonymity, aggregated roles across various federated authentication domains, rights delegated to and/or by other identities, relative roles with respect to other identities, etc.).
  • In one implementation, an operation 450 may then include the workload engine 380 analyzing the authentication tokens obtained from the authentication server 320 to identify any authentication credentials that the authentication tokens represent. As such, the workload engine 380 may reference the identified authentication credentials in an operation 460 to determine whether the identities for the requesting entity (and/or the additional entities) have proper authorization for the requested service. The workload engine 380 may then generate an authentication determination for the workload using the authentication tokens that include federated identity information for the relevant identities in addition to any policies that may be relevant to any identities involved in the workload (e.g., the client machine 315, other services or applications running on the client machine 315, or any other suitable identity involved in a session associated with the workload, as described in further detail above). Thus, in response to determining that the authentication tokens obtained from the authentication server 320 indicate that one or more of the identities involved in the workload lack proper authorization, an operation 470 (or communication element 7) may include the workload engine 380 notifying the requesting entity that the service request has been denied. Alternatively, in response to determining that every identity involved in the workload has proper authorization, an operation 480 (or communication element 7) may include notifying the requesting entity that the service request has been approved and subsequently provisioning the requested service.
  • Moreover, in response to approving the service request in operation 460, operation 480 may further include embedding the authentication tokens obtained in operation 440 (and communication element 6) within an image created for the approved service. In particular, as described in further detail above, any particular workload may include a request to provision a new service, a request to update identities managed in an existing service, or a another suitable request to manage identities associated with the approved service request. Thus, in one implementation, operation 480 may further include the workload engine 380 embedding the authentication tokens within one or more virtual machine images that host the service, whereby any suitable identity associated with the virtual machine images may be managed with the single sign-on authentication tokens obtained from the authentication server 380. For example, to configure a service newly provisioned to a virtual team having various members, authentication tokens for the various team members may be embedded into a virtual machine image that an image creation system creates to host the new service. Similarly, authentication tokens for new members of the team may be embedded within the service image to grant the new members access to the service image, while authentication tokens for any members that leave the team may be removed from the service image to prevent former members of the team from continuing to have access to the service image. In another example, in response to determining that a subset of the team members have proper authorization credentials for the service and that other team members lack proper authorization credentials, the tokens embedded within the image may be limited to the subset having proper credentials, or the workload management system may determine whether members lacking proper credentials have other managed identities with the proper credentials and insert tokens within the image that correspond to the other managed identities.
  • Thus, as described in further detail above with reference to FIG. 1A-B, authentication tokens generated at the single sign-on authentication server 380 may be used in various ways to pre-configure or re-configure a virtual machine with embedded authentication credentials for identities managed in the virtual machine. Moreover, any suitable resource in the workload management system may reference the authentication tokens embedded within the virtual machine to manage the identities associated with the virtual machine, whereby the single sign-on authentication tokens may generally provide a portable data abstraction to run identity management services anywhere in the workload management system.
  • According to one aspect of the invention, FIG. 5A illustrates a block diagram of an exemplary service distribution 500A that can be managed with one or more zero residue management agents 580 in the workload management system, while FIG. 5B illustrates an exemplary lifecycle 500B for the service distribution 500A managed with the zero residue management agents 580. In particular, as shown in FIG. 5A, the workload management system may use various orchestrated virtualization services to create and manage a partitioned operating environment for the service distribution 500A, wherein the operating environment may be partitioned into a physical distribution layer and a virtual distribution layer. In one implementation, the physical distribution layer and the virtual distribution layer may collectively define a standard partition model for the service distribution 500A, which may provide control over whether to execute certain portions of the service distribution 500A over physical hardware in a hosting environment or within virtual machines that abstract any physical hardware that hosts the virtual machines. As such, the standard partition model may permit the service distribution 500A to run anywhere in an infrastructure, regardless of any requirements or limitations associated with underlying hardware or software platforms, which may enable optimal utilization for the service distribution 500A.
  • In one implementation, the physical distribution layer in the service distribution 500A may provide an interface to physical hardware resources that host components in the virtual distribution layer. For example, the physical distribution layer may include a minimal functional kernel 550 that bundles various hardware drivers matched to the physical hardware that hosts the components in the virtual distribution layer (e.g., local area network drivers, independent hardware vendor drivers, variable drivers that support certain hardware platforms, etc.). In one implementation, the physical distribution layer may further include a pluggable hypervisor 560, which may enable the service distribution 500A to concurrently run various different operating systems 520 over the hosting physical hardware, and minimal core packages 570 that provide software supporting functionality for the components in the physical distribution layer. In addition, as will be described in further detail below, the physical distribution layer may further include an injection point 580 for dynamically inserting and removing one or more zero residue management agents that can manage the lifecycle 500B for the service distribution 500A.
  • In one implementation, the virtual distribution layer in the service distribution 500A may provide a tuned appliance, which the physical distribution layer executes over any underlying physical hardware that hosts the service distribution 500A. In particular, the virtual distribution layer may include a storage pointer 510 that identifies one or more local or remote storage locations allocated to contain a persistent state for the service distribution 500A (e.g., within a clustered file system organized with storage replication and version management services), in addition to an operating system 520 that includes a minimal number of packages, patterns, or other software components needed to support any applications 530 in the tuned appliance (e.g., the operating system 520 may include “just enough operating system” (JeOS) 520 to support the applications 530 provided in the service distribution 500A). In addition, the virtual distribution layer may include one or more configurations 540 that can be used to configure the storage pointer 510, the operating system 520, and/or the applications 530 in the virtual distribution layer, wherein the configurations 540 may define a workload profile for the service distribution 500A. For example, the workload profile may include various bundled virtual drivers for tuning components in the virtual distribution layer, attestation tokens defining unique identities and authentication credentials for the components in the virtual distribution layer, a service level declaration that defines any memory, processing, availability, disaster recovery, or other deployment constraints for the service distribution 500A.
  • Thus, the components in the virtual distribution layer may be neutral with respect to the components in the physical distribution layer, which may enable the zero residue managements 580 to independently manage any of the components in the virtual or physical distribution layers. In particular, the workload management system may employ one or more standard formats to create images for the physical distribution layer and/or the virtual distribution layer and encapsulate the physical distribution image and/or the virtual distribution image within one or more metadata wrappers. As such, the zero residue management agents 580 may be dynamically deployed within the service distribution 500A to manage various different modes during the lifecycle 500B of the service distribution 500A. For example, in response to initially creating the service distribution 500A, the lifecycle 500B of the service distribution 500A may enter the creation mode, wherein a creation management agent 580 may execute a bootstrap process to advertise that the service distribution 500A exists and appropriately download any additional management agents 580 to manage the different modes of the lifecycle 500B for the service distribution 500A.
  • For example, in one implementation, in response to the lifecycle 500B changing from one mode to another (e.g., from the creation mode through a release mode, a production mode, a test mode, a maintenance mode, an optional re-release mode, and an eventual retirement mode), one or more of the management agents 580 may be identified based on a current mode in the lifecycle 5008 and dynamically inserted into the service distribution 500A. In another example, authentication tokens generated using the techniques shown in FIGS. 3 and 4 and described above may be embedded within the service distribution 500A, wherein the relevant management agents 580 may be identified based on the embedded authentication tokens (e.g., in response to a trouble ticket request from a user that describes a problem with a particular service distribution 500A that the user interacts with, the particular service distribution 500A may be located by searching for an service distributions 500A having an embedded authentication token associated with the user, and an appropriate management agent 580 may then be deployed to the particular service distribution 500A having the embedded authentication token to diagnose or otherwise provide assistance in resolving the problem with the distribution 500A).
  • In one implementation, the identified management agent 580 may then perform any management tasks associated with the current lifecycle mode, and in response to completing the management tasks, the management agent 580 may then be removed from the service distribution 500A. In one implementation, removing the management agent 580 from the service distribution 500A may generally include removing any runtime state associated with the management agent 580 and rolling back any changes that the management agent 580 applied to the service distribution 500A in order to perform the management tasks. For example, a test management agent 580 that executes during the test mode may disable a YaST configuration tool 540 that otherwise controls installation and system management for the virtual distribution layer operating environment, whereby rolling back the changes applied to the service distribution 500A may include re-enabling the YaST configuration tool in response to the test management agent 580 completing the management tasks for the test mode. In another example, a patch management agent 580 may be inserted into the service distribution 500A to patch or otherwise update any suitable component in the service distribution 500A during the maintenance mode, wherein runtime states and temporary changes applied by the patch management agent 580 may be removed from the service distribution 500A with the patch management agent 580 in response to the maintenance mode completing.
  • Thus, removing the runtime state associated with the management agents 580 and any temporary changes that the management agents 580 applies to the service distribution 500A during the various lifecycle modes may ensure that the service distribution 500A has been restored to a “golden” or “pristine” state prior to entering a next lifecycle mode. In particular, the zero residue management agents 580 may be dynamically inserted into the service distribution 500A to execute appropriate management tasks for a current lifecycle mode, and then appropriately removed in a manner that leaves the service distribution 500A unmodified except for any persistent changes that the management tasks apply to the service distribution 500A. For example, during the maintenance mode, a configuration management agent 580 may be inserted into the service distribution 500A to modify the storage pointer 510 to point to a new local or remote storage location in response to an original storage location allocated to the service distribution 500A failing or running short on available storage resources, whereby the service distribution 500A may be unchanged except for the modified storage pointer 510. In another example, a tuning management agent 580 may be similarly inserted into the service distribution 500A during the maintenance mode to independently apply any upgrades or other modifications that can tune functionality for the service distribution 500A (e.g., the tuning management agent 580 may upgrade the kernel 550 and device drivers in the physical distribution layer independently from security patches applied to the operating system 520 or applications 530 in the virtual distribution layer, and in response to completing the upgrades, the service distribution 500A may optionally be re-released to ensure that subsequent versions of the service distribution 500A automatically include the upgrades to the kernel 550 and device drivers and the patches applied to the operating system 520 or applications 530).
  • In one implementation, one or more policies may define the management agents 580 inserted into the service distribution 500A during the various modes of the lifecycle 500B. For example, a required service level defined in the workload profile 540 may define a recipe for one or more of the management agents 580 to inject into the service distribution 500A to ensure that the service distribution 500A meets or exceeds the required service level (e.g., a configuration management agent 580 may modify the storage pointer 510 to ensure the service distribution 500A has sufficient storage capacity, a tuning management agent 580 may modify the hypervisor 560 to prepare the service distribution 500A for migration to different physical host resources that provide greater availability or performance, etc.). In other examples, the recipe for the management agents 580 may be determined automatically (e.g., based on the current mode), based on the applications 530 hosted in the service distribution 500A and any management that may be needed for such applications 530, or other suitable criteria. Further, in one implementation, one or more of the management agents 580 may be persistently hosted in the service distribution 500A to capture activity and events that may be relevant to ensuring and auditing compliance with policies, while one or more policies may control whether the service distribution 500A can move from one lifecycle mode to another (e.g., the policies may restrict moving the service distribution 500A from the creation mode to the release mode until the workload management system can ensure that the service distribution 500A meets certain sanity, safety, or policy constraints).
  • Thus, as described in further detail above, the zero residue management agents 580 may provide control for various different modes that occur during the lifecycle 500B of the service distribution 500A, including a creation mode for initially creating the service distribution 500A from one or more images stored in a suitable repository, a release mode for delivering the service distribution 500A to suitable entities that will interact with or host the service distribution 500A, a production mode for deploying the service distribution 500A to such entities, a test mode for validating that the service distribution 500A functions correctly, a maintenance mode for debugging, patching, or otherwise updating the service distribution 500A, an optional re-release mode for delivering subsequent versions of the service distribution 500A with any changes applied during the production, test, or maintenance modes, and an eventual retirement mode for de-provisioning any existing versions of the service distribution 500A in response to the service distribution 500A becoming outdated or obsolete.
  • According to one aspect of the invention, FIG. 6 illustrates a flow diagram of an exemplary method 600 for managing different modes of a service distribution lifecycle with zero residue management agents. In particular, the zero residue management agents shown in FIG. 5A and described in further detail above may be used to manage the different modes of the service distribution lifecycle depending on a current mode of the service distribution. As such, managing the service distribution lifecycle may be initiated in an operation 610, wherein a management workload may be launched to manage the service distribution lifecycle. In particular, an operation 620 may include determining the current mode of the service distribution (e.g., creation, release, production, test, maintenance, etc.), wherein one or more management agents associated with the current mode may be executed in an operation 630. The management agents associated with the current mode may then continually execute any management tasks associated with the current mode until the workload management system determines that the current mode of the service distribution lifecycle has completed in an operation 640. For example, a monitoring management agent may be executed in operation 630 during release, production, test, maintenance, or other appropriate modes to capture events that may be relevant to monitoring the health of the service distribution, compliance with one or more policies, or other suitable information. Thus, the monitoring agent may capture changes that occur to the service distribution during the various lifecycle modes, which may provide a record tracking or otherwise describing an evolution of the service distribution (e.g., for reference to diagnose, audit, or otherwise manage the service distribution).
  • As such, the management agents executed during operation 630 may add, remove, or disable aspects of the service distribution, wherein the management tasks executed during operation 630 may be controlled based on the current lifecycle mode and any other information relevant to managing identities, policies, compliance, or other aspects of the infrastructure (e.g., certain maintenance tasks may be limiting during well managed modes and restored in other modes). In one implementation, operation 640 may determine that the current mode of the service distribution lifecycle has completed based on one or more policies that control whether the service distribution lifecycle can move from one mode to another (e.g., the policies may define approval or rule validation mechanisms). Alternatively (or additionally), the current mode of the lifecycle may complete in response to the management agent executed during operation 630 completing the relevant management tasks, in response to one or more changes to the service distribution that indicate a change in mode, or other suitable criteria. In any case, in response to determining that the current mode of the service distribution lifecycle has completed in operation 640, the management agent executed during operation 630 may then be removed from the service distribution in an operation 650, and a pristine or golden state for the service distribution may then be restored in an operation 660. For example, in one implementation, restoring the state for the service distribution may include removing any runtime state associated with the management agent executed during operation 630 and rolling back any temporary changes that the management agent applied to the service distribution during operation 630.
  • Thus, in response to restoring the state for the service distribution in operation 660, the service distribution may be in the golden or pristine state prior to entering a next mode of the lifecycle (including any persistent changes that the management agents applied to the service distribution during operation 630). In particular, an operation 670 may include determining whether or not to retire the service distribution (e.g., in response to the service distribution including outdated or obsolete components), wherein the service distribution may then be retired in an operation 680. For example, retiring the service distribution in operation 680 may include de-provisioning any existing versions of the service distribution, de-allocating any resources associated with the existing versions of the service distribution, migrating information to persistent repositories to enable subsequent auditing of the lifecycles for the de-provisioned service distributions, or other suitable tasks for removing the service distribution from operation in the infrastructure. Alternatively, in response to operation 670 determining that the service distribution will not be retiring, the method 600 may return to operation 620 to identify a next mode of the service distribution lifecycle and initiate execution of one or more management agents for the identified mode. As such, the method 600 may iteratively insert management agents into the service distribution based on the current mode and then remove the management agents from the service distribution until the service distribution eventually retires in operation 680.
  • According to one aspect of the invention, FIG. 7 illustrates a block diagram of an exemplary system 700 for controlling cloud and virtualized data centers in the intelligent workload management system. In particular, as noted above, cloud and virtualized data centers generally include various dynamically allocated resources that can have unpredictable characteristics. Thus, the system 700 shown in FIG. 7 and described herein may coordinate such dynamically allocated resources in a closed-loop management infrastructure that can manage declarative policies, fine-grained access controls, and orchestrated management and monitoring tools. For example, the system 700 may operate in the workload management system described in further detail above, and may provide a mechanism to automatically create images that can be deployed to a public cloud (or cloud data center) 790 a that may be external to an information technology infrastructure, and which can further be deployed to a private cloud (or virtualized data center) 790 b that may be local to the infrastructure. In addition, the system 700 may be used to install software contained in licensed software repositories 710 a, source code repositories 710 b, or other suitable software sources onto any images that have been deployed to the public cloud 790 a or the private cloud 790 b, control and audit activity that occurs in the images deployed to the public cloud 790 a or the private cloud 790 b, establish and retrieve network addresses (e.g., IP addresses, DHCP addresses, etc.) for cloned images across various operating platforms (e.g., Windows platforms, Linux platforms, etc.), and analyze any impact that the activity occurring in the images deployed to the public cloud 790 a or the private cloud 790 b may have on other machines or images.
  • As such, the system 700 shown in FIG. 7 and described herein may generally include various features that can provide predictability in controlling images, virtual machines, or other resources that have been deployed to the public cloud 790 a and/or the private cloud 790 b. In particular, in one implementation, the system 700 may include a licensed software repository 710 a that contains licensed software, a source code repository 710 b that contains software source code, or any other suitable software repository. In one implementation, the licensed software in the licensed software repository 710 a, the software source code in the source code repository 710 b, or other software may then installed over suitable hardware resources to create one or more hardware installations 720 a, installed on a virtual machine to create one or more virtual machine installations 720 b, and/or built within a suitable build system to create one or more auto build installations 720 c. In one implementation, in response to installing or otherwise creating the hardware installations 720 a, the virtual machine installations 720 b, and the auto build installations 720 c, an appropriate management agent 725 may be inserted into the installation 720. In particular, the management agent 725 may provide functionality for performing various tasks to manage the licensed software, source code, or other software included in the installations 720. For example, in one implementation, the tasks performed by the management agents 725 may include retrieving DHCP addresses, establishing static IP addresses, providing remote debugging assistance, and inserting one or more personality tools 775 (e.g., privileged user management) for the installations 720.
  • In one implementation, the hardware installations 720 a, virtual machine installations 720 b, and auto build installations 720 c may each further include a respective identity service 727 that provides a unique identity for the respective installations 720. For example, in one implementation, the identity services 727 may generally include authentication tokens that define one or more federated authorizations or permissions for the respective installations 720 (e.g., across a plurality of authentication domains), as described in further detail above. As such, the management agents 725 inserted into the various software installations 720 may interact with the identity services 727 that define the authorizations or permissions for the various software installations 720 to uniquely identify and manage the various installations 720. For example, in addition to defining the authorizations or permissions for the various installations 720, the identity services 727 may further identify versions, builds, or other information that can uniquely identify the licensed software, source code, or other software included in the installation, which may enable management for such licensed software, source code, or other software (e.g., in response to detecting updates to the licensed software, source code, or other software in the licensed software repository 710 a or the source code repository 710 b, the integrated identity services 727 may be referenced to identify and appropriately update any installations 720 that may have been created from the updated software).
  • In one implementation, in response to creating the various software installations 720 and embedding the suitable management agents 725 a and identity services 727, various operational images may be created from the software installations 720. In particular, the virtual machine installations 720 b and the auto build installations 720 c may generally include one or more virtual machine images, as described in further detail above, while the hardware installations 720 a may generally include software that executes directly over underlying hardware resources. The operational images created from the virtual machine installations 720 b and the auto build installations 720 c may therefore include the virtual machine images included therein, wherein the operational virtual machine images may be provided to an image management system 740 that stores the operational virtual machine images in a shared repository 750 a (e.g., an image repository). With respect to the hardware installations 720 a that include software executing directly over underlying hardware resources rather than virtual machine images, a migration system 730 may provide functionality that can create a suitable operational virtual machine image from the hardware installations 720 a. The migration system 730 may evaluate any licensed software, source code, packages, or other software included in the hardware installations 720 a and create operational virtual machine images that can run in a virtualized environment. For example, in one implementation, the migration system 730 may include a Novell PlateSpin Migrate system 730, a VMware vCenter Converter system 730, or any other suitable migration system 730 that provides conversion or migration services between physical and virtual platforms. The operational virtual machine image created from the hardware installation 720 a may then be provided to the image management system 740, which may store the operational virtual machine image in the shared repository 750 a in a similar manner as the virtual machine installations 720 b and the auto build installations 720 c.
  • In one implementation, in response to providing the operational images created from the hardware installations 720 a, the virtual machine installations 720 b, and the auto build installations 720 c to the image management system 740, the image management system 740 may automatically store the operational images in the shared repository 750 a in response to determining that the operational images do not need to be tested for operational integrity (e.g., because the operational images include an attestation token indicating that the operational images have already passed operational integrity tests). Alternatively, the image management system 740 may optionally invoke a testing engine 745 a that performs one or more operational integrity tests for the operational images prior to storing the operational images in the shared repository 750 a. For example, the operational integrity tests performed by the testing engine 745 a may test the operational images against various test scripts designed to verify integrity for the operational images (e.g., validating checksums, installer functionality, etc.). Thus, in response to the testing engine 745 a determining that one or more of the operational images have passed the operational integrity tests, such operational images may be released to the shared repository 750 a. Alternatively, in response to the testing engine 745 a determining that one or more of the operational images did not pass the operational integrity tests, the image management system 740 may invoke a validation engine 740 that supervises debugging and revalidation for such operational images (e.g., generating a validation workload to coordinate collaborative interaction among various entities that debug and revalidate the operational images until the operational images eventually pass the operational integrity tests). The validation engine 745 b may then re-invoke the testing engine 745 a to determine whether the operational images have been debugged or otherwise revalidated in a manner that results in the operational images passing the integrity tests, wherein the operational images may be released to the shared repository 750 a in response to passing the integrity tests or prevented from such release in response to not passing the integrity tests.
  • In one implementation, the system 700 may further include a discovery engine 760 that continually monitors the shared repository 750 a to detect whether one or more operational images have been newly added to the shared repository 750 a. Further, in one implementation, the image management system 740, the shared repository 750 a, or another suitable component in the system 700 may generate an event in response to one or more operational images being added to the shared repository 750 a, wherein the event may notify or otherwise advertise the new operational images to the discovery engine 760. In one implementation, in response to the discovery engine 760 detecting the new operational images in the shared repository 750 a or receiving the event notifying or advertising the new operational images in the shared repository 750 a, the discovery engine 760 may prepare the operational images for deployment to the public cloud 790 a or the private cloud 790 b. In particular, various public clouds 790 a and private clouds 790 b may support different image formats, wherein the discovery engine 760 may convert the operational images into the appropriate image format for the public cloud 790 a or private cloud 790 b where the operational images will be deployed (e.g., an Amazon Machine Image format for the Amazon Elastic Compute Cloud). Thus, the cloud image repository 750 b may contain various cloud images created from the operational images in the shared repository 750 a, wherein the various cloud images may be in various different formats depending on the image format for the public cloud 790 a or private cloud 790 b that will host the cloud images.
  • In one implementation, in response to storing the cloud images in the cloud image repository 750 b, an image deployment system 770 may be invoked to deploy the cloud images to the appropriate public cloud 790 a or private cloud 790 b. In one implementation, prior to deploying the cloud images to the appropriate public cloud 790 a or private cloud 790 b, the image deployment system 770 may invoke an impact analysis engine 780 that determines a potential impact of deploying the cloud images to the public cloud 790 a or private cloud 790 b. In particular, deploying the cloud images to the public cloud 790 a or private cloud 790 b may generally include various deployment processes (e.g., starting, stopping, cloning, or migrating the cloud images). Thus, the impact analysis engine 770 may reference a configuration management database 785 to validate whether the cloud images can be suitably deployed to the public cloud 790 a or the private cloud 790 b. For example, the impact analysis engine 770 may reference the configuration management database 785 to verify that other resources detailed in the configuration management database 785 will not be adversely affected by deploying the cloud images (e.g., because the deployment may require substantial bandwidth during a period of peak network traffic). Furthermore, the impact analysis engine 770 may communicate with an audit service 795, a privileged user management service 792, or other monitoring services provided in the public cloud 790 a or the private cloud 790 b to enhance the impact analysis (e.g., determining whether conditions in the public cloud 790 a or private cloud 790 b may have adverse impacts on the deployment, local infrastructure resources, etc.).
  • In one implementation, in response to the impact analysis engine 770 determining that deploying the cloud images does not raise potential adverse impacts, or alternatively in response to resolving any such potential adverse impacts, the image deployment system 770 may deploy the cloud images in the cloud image repository 750 b to the appropriate public cloud 790 a or private cloud 790 b. Further, in one implementation, the operational images in the shared repository 750 a may already be appropriate for deployment into the public cloud 790 a or private cloud 790 b without requiring conversion to a cloud image format, in which case the image deployment system 770 may similarly deploy the operational images in the shared repository 750 a to the public cloud 790 a or private cloud 790 b. In one implementation, to deploy the cloud images or operational images to the public cloud 790 a or private cloud 790 b, the image deployment system 770 may clone or modify the cloud images or operational images (e.g., to preserve an original version of the cloud images or operational images prior to the cloud deployment). As such, in response to cloning or modifying the images prior to the cloud deployment, the image deployment system 770 may inject a new or aggregated identity service 777 into the cloned or modified images, wherein the new or aggregated identity service 777 may provide a record that identifies a lineage, pedigree, or other relationships for the cloned or modified images. Furthermore, the image deployment system 770 may inject one or more personality tools 775 into the cloned or modified images in response to determining that the personality tools 775 have not already been injected (e.g., during creation of the original software installations 720). For example, as noted above, the personality tools 775 may generally include tools for privileged user management, remote debugging, or customizing base images (e.g., certain scripts may be applied to a Linux base image in order to customize the base image for particular functions that the image provides).
  • In one implementation, the image deployment system 770 may then deploy the cloud images or the operational images to the appropriate public cloud 790 a or private cloud 790 b, wherein the deployed images may be managed in the public cloud 790 a and the private cloud 790 b. For example, as noted above, the images may include embedded management agents 725 that can control and track any activity associated with the deployed images through interaction with the embedded identity services 727, including verifying that the images comply with any relevant policies or restricting any activity that may not comply with the relevant policies, as described in further detail above. Further, because the management agents 725, identity services 727 (and/or 777), and personality tools 775 embedded in the images can control, track, and monitor activities for the images that have been deployed to the public cloud 790 a and the private cloud 790 b, the monitored activity may be provided to an audit service 795 that can remediate the activity in response to any problems with the images, provide compliance assurance for the activity associated with the images, or otherwise analyze activity that occurs in the images following deployment to the public cloud 790 a or the private cloud 790 b. Similarly, the embedded identity services 727 (and/or 777) may interact with a privileged user management service 792 in the public cloud 790 a or the private cloud 790 b, wherein the privileged user management service 792 and the audit service 795 may cooperate in various ways to remediate, assure compliance, or otherwise analyze the activity that occurs in the images following deployment to the public cloud 790 a or the private cloud 790 b.
  • According to one aspect of the invention, FIG. 8 illustrates a flow diagram of an exemplary method 800 for controlling cloud and virtualized data centers in the intelligent workload management system. In particular, the method 800 may generally operate in the system 700 shown in FIG. 7 and described in further detail above, whereby the method 800 may provide predictability in controlling images, virtual machines, or other resources that have been deployed to public clouds (or cloud data centers) and private clouds (or virtualized data centers). For example, as noted above in connection with FIG. 7, control over the cloud data centers and the virtualized data centers may be provided through various features that can automatically create and deploy images to the public clouds and the private clouds, install software from repositories that contain licensed software, source code, or other software onto the images deployed to the public or private clouds, control and audit activity that occurs in the deployed images, establish and retrieve network addresses or other network configurations for cloned images across various operating platforms, and analyze impacts that activity occurring in the deployed images may have on other machines or images to generate appropriate decisions for managing and controlling the data centers provided in the public and private clouds.
  • In particular, in one implementation, the method 800 may retrieve licensed software from a licensed software repository, software source code from a source code repository, or other software from another suitable repository, wherein an operation 810 may include creating a software installation from the licensed software, the software source code, or the other software. In one implementation, the software installation created in operation 810 may include a hardware installation installed over suitable hardware resources, a virtual machine installation installed on a virtual machine, and/or an auto build installation built using a suitable build system. In response to installing or otherwise creating the software installation in operation 810, an appropriate management agent may then be embedded in the software installation in an operation 820. For example, the management agent embedded in the software installation in operation 820 may provide functionality for performing various tasks to manage the licensed software, source code, or other software included in the software installation (e.g., DHCP address retrieval, static IP address assignment, remote debugging, personality or privileged user management insertion, etc.).
  • In one implementation, operation 820 may further include embedding an identity service within the software installation created in operation 810. In particular, the identity service may generally provide a unique identity for the software installation, and may further include an authentication token that defines one or more federated authorizations or permissions for the software installation across a plurality of authentication domains. As such, the management agent and the identity service embedded in the software installation in operation 820 may interact with one another, whereby the management agent may reference the identity service to determine a unique identity for the software installation, resolve the authorizations or permissions for the software installation from the unique identity, and otherwise manage the software installation. For example, in addition to defining authorizations or permissions that control resources that the software installation can access, the identity service may further identify a version, build, or other information that uniquely identifies the licensed software, source code, or other software included in the installation. As such, the interaction between the management agent and the identity service may be used to manage the licensed software, source code, or other software included in the installation. For example, in one implementation, the embedded management agent may reference the embedded identity service to determine whether the installation was created from licensed software, source code, or other software that has been updated in the licensed software repository or the source code repository and then appropriately update the installation in response to determining that the installation was created from the updated software.
  • In one implementation, in response to creating the software installation and embedding the management agent and the identity service, an operational image may be created from the software installation. In particular, an operation 825 may include determining whether the software installation includes a hardware installation, a virtual machine installation, or an auto build installation, wherein virtual machine installations and auto build installations generally include one or more virtual machine images, as described in further detail above. Thus, in response to determining that the software installation includes a virtual machine installation or an auto build installation in operation 825, creating the operational image may include providing the virtual machine images included therein to an image management system that stores the operational virtual machine images in a shared repository (e.g., an image repository). Alternatively, hardware installations may generally include software that executes directly over underlying hardware resources, whereby an operation 830 may include creating a virtual machine from the hardware installation to prepare the hardware installation for migration to a virtualized environment. In particular, operation 830 may invoke a migration system providing functionality for creating operational virtual machine images from hardware installations, wherein the migration system may evaluate any licensed software, source code, packages, or other software included in the hardware installation and appropriately create the operational virtual machine image. For example, the migration system may include Novell PlateSpin Migrate, VMware vCenter Converter, or any other migration system that provides conversion or migration services between physical and virtual platforms. The operational virtual machine image created from the hardware installation may then be provided to the image management system, which may store the operational virtual machine image in the shared repository in a similar manner as for virtual machine installations or auto build installations.
  • In one implementation, in response to providing the operational image created from the software installation to the image management system, an operation 835 may include determining whether or not to test the operational images for operational integrity. For example, an operation 860 may include the image management system automatically storing the operational image in the shared repository in response to determining that the operational image does not need to be tested (e.g., because the operational image includes an attestation token indicating that the operational image has already passed operational integrity tests). Alternatively, an operation 840 may include the image management system optionally invoking a testing engine that runs one or more operational integrity tests for the operational image prior to storing the operational image in the shared repository. For example, the operational integrity tests run in operation 840, may test the operational image against various test scripts designed to verify integrity for the operational image (e.g., validating checksums, installer functionality, etc.). Thus, an operation 845 may include determining whether the operational image passed the operational integrity tests, wherein the operational image may be released to the shared repository in operation 860 in response to the operational image passing the integrity tests. Alternatively, in response determining that the operational image did not pass the operational integrity tests in operation 845, a validation engine may be invoked in an operation 850, wherein the validation engine may supervise debugging and revalidation for the operational image (e.g., generating a debugging workload to coordinate collaborative interaction among various entities associated with the failed operational image). The validation engine may then re-invoke operation 840 to determine whether the operational image has been debugged or otherwise revalidated in a manner that results in the operational image passing the integrity tests, wherein the operational image may be released to the shared repository in operation 860 in response to passing the integrity tests, whereas the operational image may be iteratively debugged and revalidated in operations 840 through 850 until the operational image successfully passes the integrity tests.
  • In one implementation, a discovery engine may continually monitor the shared repository to detect whether the operational image has been newly added to the shared repository. Alternatively, the image management system, the shared repository, or another component may generate an event in response to adding the operational image to the shared repository, wherein the event may notify or otherwise advertise the new operational image to the discovery engine. Thus, in response to the discovery engine detecting that the new operational image has been added to the shared repository or receiving the event notifying or advertising the new operational image in the shared repository, an operation 870 may include generating a cloud image to prepare the operational image for deployment to the public cloud or the private cloud. In particular, various public clouds and private clouds may support different image formats, wherein operation 870 may include converting the operational image into the appropriate image format for the public cloud or private cloud where the operational image will be deployed (e.g., an Amazon Machine Image format for the Amazon Elastic Compute Cloud). Thus, the cloud image created in operation 870 may be in a cloud image format that depends on an image format used in the public cloud or private cloud that will host the cloud image created in operation 870.
  • In one implementation, in response to generating the cloud image in operation 870, an image deployment system may be invoked to deploy the cloud image to the appropriate public cloud or private cloud. In one implementation, prior to deploying the cloud images to the appropriate public cloud or private cloud, an operation 875 a may include determining whether to invoke an impact analysis engine that determines a potential impact of deploying the cloud images to the public cloud or private cloud. In particular, deploying the cloud images to the public cloud or private cloud may generally include various deployment processes (e.g., starting, stopping, cloning, or migrating the cloud images), wherein the impact analysis optionally performed in operation 875 a may include referencing a configuration management database to validate whether the cloud images can be suitably deployed to the public cloud or the private cloud. For example, the impact analysis engine may reference the configuration management database to verify that other resources detailed in the configuration management database will not be adversely affected by deploying the cloud images (e.g., because the deployment may require substantial bandwidth during a period of peak network traffic). Furthermore, the impact analysis engine may communicate with an audit service, a privileged user management service, or other monitoring services provided in the public cloud or the private cloud to enhance the impact analysis (e.g., determining whether conditions in the public cloud or private cloud may have adverse impacts on the deployment, local infrastructure resources, etc.). As such, in response to determining that potential adverse impacts may result from deploying the image to the cloud in an operation 875 b, the image may be revalidated in operation 850, or operation 850 may include other processes to resolve the adverse impacts.
  • In one implementation, in response to determining that deploying the cloud image does not raise potential adverse impacts in operation 875 b, or alternatively in response to resolving any such potential adverse impacts, an operation 880 may include deploying the cloud image to the appropriate public cloud or private cloud. Further, in one implementation, the operational image stored in the shared repository in operation 860 may already be appropriate for deployment into the public cloud or private cloud without requiring conversion to a cloud image format in operation 870, in which case operation 880 may include similarly deploying the operational image stored in operation 860 to the public cloud or private cloud. In one implementation, to deploy the cloud images or operational images to the public cloud or private cloud, operation 880 ma include cloning or modifying the cloud image or the operational image (e.g., to preserve an original version of the cloud image or operational image prior to the deployment operation 880). As such, in response to cloning or modifying the image prior to the cloud deployment, operation 880 may further include injecting a new or aggregated identity service into the cloned or modified image, wherein the new or aggregated identity service may provide a record that identifies a lineage, pedigree, or other relationships for the cloned or modified image. Furthermore, operation 880 may include injecting one or more personality tools into the cloned or modified image in response to determining that the personality tools have not already been injected (e.g., during creation of the original software installation in operations 810 and 820). For example, as noted above, the personality tools may generally include tools for privileged user management, remote debugging, or customizing base images (e.g., certain scripts may be applied to a Linux base image in order to customize the base image for particular functions that the image provides).
  • In one implementation, operation 880 may then include deploying the cloud image or the operational image to the appropriate public cloud or private cloud, wherein operation 880 may further include managing the image deployed to the public or private cloud. For example, as noted above, the image may include an embedded management agent that can control and track any activity associated with the deployed image through interaction with the embedded identity service, including verifying that the image complies with any relevant policies or restricting any activity that may not comply with the relevant policies, as described in further detail above. Further, because the management agent, identity service, and personality tools embedded in the image can control, track, and monitor activities for the image deployed to the public or private cloud, operation 880 may include providing the monitored activity to an audit service in the cloud that can remediate any problems with the image, provide compliance assurance for the activity associated with the image, or otherwise analyze the activity that occurs in the image following deployment to the cloud. Similarly, the embedded identity service may interact with a privileged user management service in the cloud, wherein the privileged user management service and the audit service in the cloud may cooperate in various ways to remediate, assure compliance, or otherwise analyze the activity that occurs in the image following deployment to the cloud.
  • Implementations of the invention may be made in hardware, firmware, software, or various combinations thereof. The invention may also be implemented as instructions stored on a machine-readable medium, which may be read and executed using one or more processing devices. In one implementation, the machine-readable medium may include various mechanisms for storing and/or transmitting information in a form that can be read by a machine (e.g., a computing device). For example, a machine-readable storage medium may include read only memory, random access memory, magnetic disk storage media, optical storage media, flash memory devices, and other media for storing information, and a machine-readable transmission media may include forms of propagated signals, including carrier waves, infrared signals, digital signals, and other media for transmitting information. While firmware, software, routines, or instructions may be described in the above disclosure in terms of specific exemplary aspects and implementations performing certain actions, it will be apparent that such descriptions are merely for the sake of convenience and that such actions in fact result from computing devices, processing devices, processors, controllers, or other devices or machines executing the firmware, software, routines, or instructions.
  • Furthermore, aspects and implementations may be described in the above disclosure as including particular features, structures, or characteristics, but it will be apparent that every aspect or implementation may or may not necessarily include the particular features, structures, or characteristics. Further, where particular features, structures, or characteristics have been described in connection with a specific aspect or implementation, it will be understood that such features, structures, or characteristics may be included with other aspects or implementations, whether or not explicitly described. Thus, various changes and modifications may be made to the preceding disclosure without departing from the scope or spirit of the invention, and the specification and drawings should therefore be regarded as exemplary only, with the scope of the invention determined solely by the appended claims.

Claims (20)

  1. 1. A system for controlling cloud and virtualized data centers in an intelligent workload management system, comprising:
    at least one software installation having an embedded management agent;
    an authentication server that embeds an identity service in the at least one software installation, wherein the embedded identity service includes an authentication token defining authorizations or permissions for a unique identity assigned to the software installation;
    an image management system that stores a virtual machine image created from the software installation in a shared repository;
    a cloud image repository that stores a cloud image created from the virtual machine image in the shared repository, wherein the cloud image created from the virtual machine image includes the embedded management agent and the embedded identity service; and
    an image deployment system that deploys the cloud image with the embedded management agent and the embedded identity service into a cloud computing environment.
  2. 2. The system of claim 1, further comprising:
    a licensed software repository that stores licensed software; and
    a source code repository that stores software source code, wherein the at least one software installation is created from at least one of the licensed software stored in the licensed software repository or the software source code stored in the source code repository.
  3. 3. The system of claim 1, wherein the at least one software installation includes at least one of a virtual machine installation or an auto build installation that includes the virtual machine image created from the software installation.
  4. 4. The system of claim 3, wherein the at least one software installation includes a hardware installation that includes software installed directly over one or more physical hardware resources, and wherein the system further comprises a migration system that creates the virtual machine image from the software installed directly over the one or more physical hardware resources.
  5. 5. The system of claim 1, wherein the image management system includes:
    a testing engine that runs a plurality of operational integrity tests against the virtual machine image created from the software installation and releases the virtual machine image to the shared repository in response to the virtual machine image passing the plurality of operational integrity tests; and
    a validation engine that restricts releasing the virtual machine image to the shared repository in response to the virtual machine image failing one or more of the plurality of operational integrity tests, wherein the validation engine restricts releasing the virtual machine image to the shared repository until a validation workload controlled by the embedded management agent and the embedded identity service results in the virtual machine image passing the plurality of operational integrity tests.
  6. 6. The system of claim 5, further comprising a discovery engine that creates the cloud image from the virtual machine image in response to detecting that the virtual machine image has been released to the shared repository, or in response to receiving an event advertising that the virtual machine image has been released to the shared repository.
  7. 7. The system of claim 6, wherein the discovery engine converts the virtual machine image into an image format associated with the cloud computing environment to create the cloud image from the virtual machine image.
  8. 8. The system of claim 1, wherein the image deployment system includes an impact analysis engine that determines whether deploying the cloud image into the cloud computing environment will create one or more potential adverse impacts in an information technology infrastructure, and wherein the image deployment system is configured to:
    deploy the cloud image into the cloud computing environment in response to the impact analysis engine determining that deploying the cloud image will not create any potential adverse impacts in the information technology infrastructure; and
    deploy the cloud image into the cloud computing environment in response to the impact analysis engine determining that deploying the cloud image will create one or more potential adverse impacts in the information technology infrastructure and resolving the one or more potential adverse impacts.
  9. 9. The system of claim 1, wherein the image deployment system creates a clone of the cloud image deployed into the cloud computing environment and embeds a new or aggregated identity service in the clone of the cloud image, wherein the new or aggregated identity service embedded in the clone of the cloud image records a lineage for the cloud image.
  10. 10. The system of claim 1, wherein the cloud computing environment includes an audit service and a privileged user management service that interact with the management agent and the identity service embedded in the cloud image to control, monitor, and audit activity that occurs in the cloud image following deployment to the cloud computing environment.
  11. 11. A method for controlling cloud and virtualized data centers in an intelligent workload management system, comprising:
    creating at least one software installation having an embedded management agent;
    embedding, by an authentication server, an identity service in the at least one software installation, wherein the embedded identity service includes an authentication token defining authorizations or permissions for a unique identity assigned to the software installation;
    storing, by an image management system, a virtual machine image created from the software installation, wherein the image management system stores the virtual machine image created from the software installation in a shared repository;
    storing, in a cloud image repository, a cloud image created from the virtual machine image, wherein the cloud image created from the virtual machine image includes the embedded management agent and the embedded identity service; and
    deploying, by an image deployment system, the cloud image with the embedded management agent and the embedded identity service into a cloud computing environment.
  12. 12. The method of claim 11, further comprising:
    storing licensed software in a licensed software repository; and
    storing software source code in a source code repository, wherein the at least one software installation is created from at least one of the licensed software stored in the licensed software repository or the software source code stored in the source code repository.
  13. 13. The method of claim 11, wherein the at least one software installation includes at least one of a virtual machine installation or an auto build installation that includes the virtual machine image created from the software installation.
  14. 14. The method of claim 13, wherein the at least one software installation includes a hardware installation that includes software installed directly over one or more physical hardware resources, and wherein the method further comprises creating, by a migration system, the virtual machine image from the software installed directly over the one or more physical hardware resources.
  15. 15. The method of claim 11, further comprising:
    running, by a testing engine, a plurality of operational integrity tests against the virtual machine image created from the software installation;
    releasing the virtual machine image to the shared repository in response to the virtual machine image passing the plurality of operational integrity tests, wherein a validation engine restricts releasing the virtual machine image to the shared repository in response to the virtual machine image failing one or more of the plurality of operational integrity tests; and
    releasing the virtual machine image to the shared repository in response to a validation workload controlled by the embedded management agent and the embedded identity service resulting in the virtual machine image passing the plurality of operational integrity tests.
  16. 16. The method of claim 15, further comprising:
    creating the cloud image from the virtual machine image in response to a discovery engine detecting the release of the virtual machine image to the shared repository; and
    creating the cloud image from the virtual machine image in response to the discovery engine receiving an event advertising the release of the virtual machine image to the shared repository.
  17. 17. The method of claim 16, wherein creating the cloud image from the virtual machine image includes converting the virtual machine image into an image format associated with the cloud computing environment.
  18. 18. The method of claim 11, further comprising determining, by an impact analysis engine, whether deploying the cloud image into the cloud computing environment will create one or more potential adverse impacts in an information technology infrastructure, wherein deploying the cloud image into the cloud computing environment includes:
    deploying the cloud image into the cloud computing environment in response to the impact analysis engine determining that deploying the cloud image will not create any potential adverse impacts in the information technology infrastructure; and
    deploying the cloud image into the cloud computing environment in response to the impact analysis engine determining that deploying the cloud image will create one or more potential adverse impacts in the information technology infrastructure and resolving the one or more potential adverse impacts.
  19. 19. The method of claim 11, further comprising:
    creating, by the image deployment system, a clone of the cloud image deployed into the cloud computing environment; and
    embedding, by the image deployment system, a new or aggregated identity service in the clone of the cloud image, wherein the new or aggregated identity service embedded in the clone of the cloud image records a lineage for the cloud image.
  20. 20. The method of claim 11, wherein the cloud computing environment includes an audit service and a privileged user management service that interact with the management agent and the identity service embedded in the cloud image to control, monitor, and audit activity that occurs in the cloud image following deployment to the cloud computing environment.
US12645114 2009-11-25 2009-12-22 System and method for controlling cloud and virtualized data centers in an intelligent workload management system Abandoned US20110126197A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US26456209 true 2009-11-25 2009-11-25
US12645114 US20110126197A1 (en) 2009-11-25 2009-12-22 System and method for controlling cloud and virtualized data centers in an intelligent workload management system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US12645114 US20110126197A1 (en) 2009-11-25 2009-12-22 System and method for controlling cloud and virtualized data centers in an intelligent workload management system

Publications (1)

Publication Number Publication Date
US20110126197A1 true true US20110126197A1 (en) 2011-05-26

Family

ID=44062913

Family Applications (9)

Application Number Title Priority Date Filing Date
US12645114 Abandoned US20110126197A1 (en) 2009-11-25 2009-12-22 System and method for controlling cloud and virtualized data centers in an intelligent workload management system
US12725263 Active 2031-08-01 US8543916B2 (en) 2009-11-25 2010-03-16 System and method for recording collaborative information technology processes in an intelligent workload management system
US12725241 Active 2031-05-29 US8745205B2 (en) 2009-11-25 2010-03-16 System and method for intelligent workload management
US12727837 Active 2034-01-26 US9191380B2 (en) 2009-11-25 2010-03-19 System and method for managing information technology models in an intelligent workload management system
US12757674 Active 2033-09-02 US9210141B2 (en) 2009-11-25 2010-04-09 System and method for providing scorecards to visualize services in an intelligent workload management system
US12762015 Expired - Fee Related US8695075B2 (en) 2009-11-25 2010-04-16 System and method for discovery enrichment in an intelligent workload management system
US12900866 Active 2031-10-27 US8448170B2 (en) 2009-11-25 2010-10-08 System and method for providing annotated service blueprints in an intelligent workload management system
US13892987 Active 2032-09-11 US10104053B2 (en) 2009-11-25 2013-05-13 System and method for providing annotated service blueprints in an intelligent workload management system
US14263394 Active 2030-04-14 US9432350B2 (en) 2009-11-25 2014-04-28 System and method for intelligent workload management

Family Applications After (8)

Application Number Title Priority Date Filing Date
US12725263 Active 2031-08-01 US8543916B2 (en) 2009-11-25 2010-03-16 System and method for recording collaborative information technology processes in an intelligent workload management system
US12725241 Active 2031-05-29 US8745205B2 (en) 2009-11-25 2010-03-16 System and method for intelligent workload management
US12727837 Active 2034-01-26 US9191380B2 (en) 2009-11-25 2010-03-19 System and method for managing information technology models in an intelligent workload management system
US12757674 Active 2033-09-02 US9210141B2 (en) 2009-11-25 2010-04-09 System and method for providing scorecards to visualize services in an intelligent workload management system
US12762015 Expired - Fee Related US8695075B2 (en) 2009-11-25 2010-04-16 System and method for discovery enrichment in an intelligent workload management system
US12900866 Active 2031-10-27 US8448170B2 (en) 2009-11-25 2010-10-08 System and method for providing annotated service blueprints in an intelligent workload management system
US13892987 Active 2032-09-11 US10104053B2 (en) 2009-11-25 2013-05-13 System and method for providing annotated service blueprints in an intelligent workload management system
US14263394 Active 2030-04-14 US9432350B2 (en) 2009-11-25 2014-04-28 System and method for intelligent workload management

Country Status (1)

Country Link
US (9) US20110126197A1 (en)

Cited By (189)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110126047A1 (en) * 2009-11-25 2011-05-26 Novell, Inc. System and method for managing information technology models in an intelligent workload management system
US20110131316A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for detecting events in cloud computing environments and performing actions upon occurrence of the events
US20110153684A1 (en) * 2009-12-23 2011-06-23 John Chi Yung Systems and methods for automatic provisioning of a user designed virtual private data center in a multi-tenant system
US20110185014A1 (en) * 2010-01-28 2011-07-28 Hewlett-Packard Development Company, L.P. Modeling a cloud computing system
US20110199389A1 (en) * 2008-12-19 2011-08-18 Microsoft Corporation Interactive virtual display system for ubiquitous devices
US20110208841A1 (en) * 2010-02-22 2011-08-25 Microsoft Corporation Incrementally managing distributed configuration data
US20110209064A1 (en) * 2010-02-24 2011-08-25 Novell, Inc. System and method for providing virtual desktop extensions on a client desktop
US20110213765A1 (en) * 2010-02-26 2011-09-01 Vmware, Inc. Comprehensive, Relevant, and Dynamic Data Searching in a Virtualization Environment
US20110225276A1 (en) * 2010-03-11 2011-09-15 International Business Machines Corporation Environmentally sustainable computing in a distributed computer network
US20110221657A1 (en) * 2010-02-28 2011-09-15 Osterhout Group, Inc. Optical stabilization of displayed content with a variable lens
US20110231822A1 (en) * 2010-03-19 2011-09-22 Jason Allen Sabin Techniques for validating services for deployment in an intelligent workload management system
US20110231846A1 (en) * 2010-03-19 2011-09-22 Jason Allen Sabin Techniques for managing service definitions in an intelligent workload management system
US20110238458A1 (en) * 2010-03-24 2011-09-29 International Business Machines Corporation Dynamically optimized distributed cloud computing-based business process management (bpm) system
US20110238515A1 (en) * 2010-03-26 2011-09-29 Computer Associates Think, Inc. System and method for selecting services from multiple cloud vendors
US20110252271A1 (en) * 2010-04-13 2011-10-13 Red Hat Israel, Ltd. Monitoring of Highly Available Virtual Machines
US20110271146A1 (en) * 2010-04-30 2011-11-03 Mitre Corporation Anomaly Detecting for Database Systems
US20110276951A1 (en) * 2010-05-05 2011-11-10 Microsoft Corporation Managing runtime execution of applications on cloud computing systems
US20110289134A1 (en) * 2010-05-18 2011-11-24 At&T Intellectual Property I, L.P. End-To-End Secure Cloud Computing
US20110302315A1 (en) * 2010-06-03 2011-12-08 Microsoft Corporation Distributed services authorization management
US20110302415A1 (en) * 2010-06-02 2011-12-08 Vmware, Inc. Securing customer virtual machines in a multi-tenant cloud
US20110314466A1 (en) * 2010-06-17 2011-12-22 International Business Machines Corporation Creating instances of cloud computing environments
US20110321117A1 (en) * 2010-06-23 2011-12-29 Itt Manufacturing Enterprises, Inc. Policy Creation Using Dynamic Access Controls
US20110320598A1 (en) * 2010-06-28 2011-12-29 Bmc Software, Inc. System and Method for Offering Virtual Private Clouds within a Public Cloud Environment
US20120005262A1 (en) * 2010-07-01 2012-01-05 Mcwhirter Robert Kelley Architecture, system and method for providing a neutral application programming interface for accessing different cloud computing systems
US20120005724A1 (en) * 2009-02-09 2012-01-05 Imera Systems, Inc. Method and system for protecting private enterprise resources in a cloud computing environment
US20120047492A1 (en) * 2010-08-17 2012-02-23 International Business Machines Corporation Deployment of a tool for testing migrated applications
WO2012023050A2 (en) 2010-08-20 2012-02-23 Overtis Group Limited Secure cloud computing system and method
US20120047265A1 (en) * 2010-08-20 2012-02-23 International Business Machines Corporation Performance isolation for storage clouds
US20120054763A1 (en) * 2010-08-24 2012-03-01 Novell, Inc. System and method for structuring self-provisioning workloads deployed in virtualized data centers
US20120110185A1 (en) * 2010-10-29 2012-05-03 Cisco Technology, Inc. Distributed Hierarchical Rendering and Provisioning of Cloud Services
US20120131176A1 (en) * 2010-11-24 2012-05-24 James Michael Ferris Systems and methods for combinatorial optimization of multiple resources across a set of cloud-based networks
US20120159482A1 (en) * 2010-12-17 2012-06-21 Bok Deuk Jeong Seamless application integration apparatus and method
US20120185913A1 (en) * 2008-06-19 2012-07-19 Servicemesh, Inc. System and method for a cloud computing abstraction layer with security zone facilities
US20120197624A1 (en) * 2011-01-28 2012-08-02 Vishwanath Hawargi System and method for managing a storage array using simulation
US20120240108A1 (en) * 2011-03-18 2012-09-20 Airbus Operations (S.A.S.) Method and device for installing/uninstalling software modules, with centralized resolution of constraints, in aircraft apparatuses
US20120266158A1 (en) * 2011-04-12 2012-10-18 Vmware, Inc. Release management system for a multi-node application
WO2012170016A1 (en) * 2011-06-07 2012-12-13 Hewlett-Packard Development Company, L.P. A scalable multi-tenant network architecture for virtualized datacenters
US20120324082A1 (en) * 2011-06-17 2012-12-20 Futurewei Technologies, Inc. Cloud Service Control and Management Architecture Expanded to Interface the Network Stratum
US20130007741A1 (en) * 2009-12-11 2013-01-03 Deutsche Telekom Ag Computer cluster and method for providing a disaster recovery functionality for a computer cluster
CN102880832A (en) * 2012-08-28 2013-01-16 曙光信息产业(北京)有限公司 Method for implementing mass data management system under colony
WO2013016584A1 (en) * 2011-07-26 2013-01-31 Nebula, Inc. Systems and methods for implementing cloud computing
US20130031158A1 (en) * 2010-08-20 2013-01-31 Salsburg Michael A Moving enterprise software applications to a cloud domain
US20130036328A1 (en) * 2011-08-04 2013-02-07 Microsoft Corporation Managing continuous software deployment
US20130067090A1 (en) * 2011-09-12 2013-03-14 Microsoft Corporation Coordination engine for cloud selection
US20130074068A1 (en) * 2011-09-16 2013-03-21 International Business Machines Corporation Method, System, and Computer Program for Implementing a Customizable Virtual Appliance
US20130074064A1 (en) * 2011-09-15 2013-03-21 Microsoft Corporation Automated infrastructure provisioning
US20130073715A1 (en) * 2011-09-16 2013-03-21 Tripwire, Inc. Methods and apparatus for remediating policy test failures, including correlating changes to remediation processes
US20130086585A1 (en) * 2011-09-30 2013-04-04 International Business Machines Corporation Managing the Persistent Data of a Pre-Installed Application in an Elastic Virtual Machine Instance
US20130091180A1 (en) * 2010-04-16 2013-04-11 Inria Institut National De Recherche En Informatiq Et En Automatique Tool for managing computer resources and infrastructures and networks
US8438654B1 (en) 2012-09-14 2013-05-07 Rightscale, Inc. Systems and methods for associating a virtual machine with an access control right
US20130142201A1 (en) * 2011-12-02 2013-06-06 Microsoft Corporation Connecting on-premise networks with public clouds
WO2013085281A1 (en) * 2011-12-05 2013-06-13 인텔렉추얼디스커버리 주식회사 Method and device for security in clouding computing service
US20130191527A1 (en) * 2012-01-23 2013-07-25 International Business Machines Corporation Dynamically building a set of compute nodes to host the user's workload
US8505003B2 (en) 2010-04-28 2013-08-06 Novell, Inc. System and method for upgrading kernels in cloud computing environments
US20130212553A1 (en) * 2012-01-19 2013-08-15 Syntel, Inc. System and method for modeling cloud rules for migration to the cloud
US20130227710A1 (en) * 2012-02-27 2013-08-29 Computer Associates Think, Inc. System and method for securing leased images in a cloud environment
US8549066B1 (en) * 2010-08-26 2013-10-01 Adobe Systems Incorporated Service provider interface for deploying and managing applications on a cloud
US20130262382A1 (en) * 2012-03-29 2013-10-03 Empire Technology Development, Llc Determining user key-value storage needs from example queries
US20130282906A1 (en) * 2012-04-18 2013-10-24 International Business Machines Corporation Multi-user analytical system and corresponding device and method
US20130290477A1 (en) * 2012-04-27 2013-10-31 Philippe Lesage Management service to manage a file
US20130290511A1 (en) * 2012-04-27 2013-10-31 Susan Chuzhi Tu Managing a sustainable cloud computing service
US8601583B1 (en) * 2011-04-14 2013-12-03 Trend Micro Incorporated Certification of virtual machine images in cloud computing environments
US20130326496A1 (en) * 2012-05-29 2013-12-05 International Business Machines Corporation Generating Super Templates to Obtain User-Requested Templates
US8627426B2 (en) 2010-04-26 2014-01-07 Vmware, Inc. Cloud platform architecture
US20140020050A1 (en) * 2011-03-25 2014-01-16 Eads Deutschland Gmbh Method for Determining Integrity in an Evolutionary Collaborative Information System
US8639793B2 (en) 2010-10-29 2014-01-28 Cisco Technology, Inc. Disaster recovery and automatic relocation of cloud services
US8639747B2 (en) 2010-07-01 2014-01-28 Red Hat, Inc. System and method for providing a cloud computing graphical user interface
US8639745B2 (en) 2010-07-01 2014-01-28 Red Hat, Inc. Providing a neutral interface to multiple cloud computing systems
US8639746B2 (en) 2010-07-01 2014-01-28 Red Hat, Inc. Architecture, system and method for mediating communications between a client computer system and a cloud computing system with a driver framework
US20140032761A1 (en) * 2012-07-25 2014-01-30 Vmware, Inc. Dynamic allocation of physical computing resources amongst virtual machines
US20140047442A1 (en) * 2010-06-30 2014-02-13 International Business Machines Corporation Hypervisor selection for hosting a virtual machine image
US20140085167A1 (en) * 2012-09-26 2014-03-27 Tencent Technology (Shenzhen) Company Limited Systems and methods for sharing image data
US8725891B2 (en) 2010-07-01 2014-05-13 Red Hat, Inc. Aggregation across cloud providers
US20140149540A1 (en) * 2012-11-23 2014-05-29 Oracle International Corporation Decentralized administration of access to target systems in identity management
US8751620B2 (en) 2012-03-30 2014-06-10 International Business Machines Corporation Validating deployment patterns in a networked computing environment
WO2014093715A1 (en) 2012-12-12 2014-06-19 Microsoft Corporation Workload deployment with infrastructure management agent provisioning
US8769701B2 (en) * 2012-09-05 2014-07-01 International Business Machines Corporation Single tenant audit view in a multi-tenant environment
US20140189797A1 (en) * 2012-12-27 2014-07-03 Microsoft Corporation Authorization messaging with integral delegation data
US8782632B1 (en) * 2012-06-18 2014-07-15 Tellabs Operations, Inc. Methods and apparatus for performing in-service software upgrade for a network device using system virtualization
US20140229898A1 (en) * 2013-02-08 2014-08-14 cloudRIA, Inc. Browser-based application management
US8813065B2 (en) 2010-04-26 2014-08-19 Vmware, Inc. Microcloud platform delivery system
US8819491B2 (en) 2011-09-16 2014-08-26 Tripwire, Inc. Methods and apparatus for remediation workflow
US20140245261A1 (en) * 2011-09-07 2014-08-28 Digital Rapids Corporation Systems and methods for computing applications
US8832249B2 (en) 2011-11-30 2014-09-09 At&T Intellectual Property I, L.P. Methods and apparatus to adjust resource allocation in a distributive computing network
US8838968B2 (en) 2012-05-14 2014-09-16 Ca, Inc. System and method for virtual machine data protection in a public cloud
US20140282491A1 (en) * 2013-03-12 2014-09-18 Airbus Operations (Sas) Method, device and computer program for the automatic installation or uninstallation of software modules on equipment on board an aircraft
WO2014142782A1 (en) * 2013-03-11 2014-09-18 Intel Corporation Device synchronization policy management
US8850026B2 (en) 2009-11-16 2014-09-30 At&T Intellectual Property I, L.P. Methods and apparatus to allocate resources associated with a distributive computing network
US8856518B2 (en) 2011-09-07 2014-10-07 Microsoft Corporation Secure and efficient offloading of network policies to network interface cards
US8862727B2 (en) 2012-05-14 2014-10-14 International Business Machines Corporation Problem determination and diagnosis in shared dynamic clouds
US8862941B2 (en) 2011-09-16 2014-10-14 Tripwire, Inc. Methods and apparatus for remediation execution
WO2013112833A3 (en) * 2012-01-26 2014-11-13 Computenext Inc. Federating computing resources across the web
US8909734B2 (en) 2012-02-07 2014-12-09 International Business Machines Corporation Migrating data between networked computing environments
US8918501B2 (en) 2011-11-10 2014-12-23 Microsoft Corporation Pattern-based computational health and configuration monitoring
US8924723B2 (en) 2011-11-04 2014-12-30 International Business Machines Corporation Managing security for computer services
US20150012487A1 (en) * 2013-07-03 2015-01-08 International Business Machines Corporation Method to optimize provisioning time with dynamically generated virtual disk contents
US8935397B2 (en) 2010-07-01 2015-01-13 Red Hat, Inc. Dividing cloud resources
US8943220B2 (en) 2011-08-04 2015-01-27 Microsoft Corporation Continuous deployment of applications
US8954579B2 (en) 2012-08-21 2015-02-10 Microsoft Corporation Transaction-level health monitoring of online services
US8972941B2 (en) * 2012-07-18 2015-03-03 International Business Machines Corporation Integrated development environment-based workload testing in a networked computing environment
US8990899B2 (en) 2011-12-01 2015-03-24 International Business Machines Corporation Using a local authorization extension to provide access authorization for a module to access a computing system
US8996932B2 (en) 2013-01-09 2015-03-31 Microsoft Technology Licensing, Llc Cloud management using a component health model
US20150095482A1 (en) * 2013-09-29 2015-04-02 International Business Machines Corporation Method and System for Deploying Service in a Cloud Computing System
US9009705B2 (en) 2012-10-01 2015-04-14 International Business Machines Corporation Authenticated distribution of virtual machine images
US9021294B2 (en) 2012-03-16 2015-04-28 Sungard Availability Services Lp Discovering boot order sequence of servers belonging to an application
US20150134424A1 (en) * 2013-11-14 2015-05-14 Vmware, Inc. Systems and methods for assessing hybridization of cloud computing services based on data mining of historical decisions
US9038055B2 (en) 2011-08-05 2015-05-19 Microsoft Technology Licensing, Llc Using virtual machines to manage software builds
US20150149756A1 (en) * 2013-11-28 2015-05-28 Inventec (Pudong) Technology Corporation System and method for setting up a bootable storage device using image
US9047133B2 (en) 2012-03-02 2015-06-02 Vmware, Inc. Single, logical, multi-tier application blueprint used for deployment and management of multiple physical applications in a cloud environment
US20150154039A1 (en) * 2013-12-03 2015-06-04 Vmware, Inc. Methods and apparatus to automatically configure monitoring of a virtual machine
US9054917B2 (en) 2012-03-08 2015-06-09 Empire Technology Development Llc Secure migration of virtual machines
US9052961B2 (en) 2012-03-02 2015-06-09 Vmware, Inc. System to generate a deployment plan for a cloud infrastructure according to logical, multi-tier application blueprint
US9052963B2 (en) 2012-05-21 2015-06-09 International Business Machines Corporation Cloud computing data center machine monitor and control
US9059933B2 (en) 2009-12-23 2015-06-16 Centurylink Intellectual Property Llc Provisioning virtual private data centers
US20150169876A1 (en) * 2013-12-13 2015-06-18 International Business Machines Corporation Running local virtual disks containing applications with limited licenses
US20150172136A1 (en) * 2012-09-07 2015-06-18 Transoft (Shanghai), Inc. Apparatus of mapping logical point-of-delivery to physical point-of-delivery based on telecommunication information networking
US9071522B2 (en) 2010-04-26 2015-06-30 Pivotal Software, Inc. Policy engine for cloud platform
US20150186176A1 (en) * 2010-11-01 2015-07-02 Microsoft Corporation Dynamic allocation and assignment of virtual environment
US9087322B1 (en) * 2011-12-22 2015-07-21 Emc Corporation Adapting service provider products for multi-tenancy using tenant-specific service composition functions
US9091851B2 (en) 2010-02-28 2015-07-28 Microsoft Technology Licensing, Llc Light control in head mounted displays
US9097891B2 (en) 2010-02-28 2015-08-04 Microsoft Technology Licensing, Llc See-through near-eye display glasses including an auto-brightness control for the display brightness based on the brightness in the environment
US9097890B2 (en) 2010-02-28 2015-08-04 Microsoft Technology Licensing, Llc Grating in a light transmissive illumination system for see-through near-eye display glasses
US9116753B2 (en) 2012-07-08 2015-08-25 Dell Products L.P. System and method for dynamic scaling based on a reference architecture
US9122510B2 (en) 2013-01-02 2015-09-01 International Business Machines Corporation Querying and managing computing resources in a networked computing environment
US9130844B1 (en) 2014-11-11 2015-09-08 Citigroup Technology, Inc. Systems and methods for harvesting excess compute capacity across domains
US9128281B2 (en) 2010-09-14 2015-09-08 Microsoft Technology Licensing, Llc Eyepiece with uniformly illuminated reflective display
US9129295B2 (en) 2010-02-28 2015-09-08 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a fast response photochromic film system for quick transition from dark to clear
US9134534B2 (en) 2010-02-28 2015-09-15 Microsoft Technology Licensing, Llc See-through near-eye display glasses including a modular image source
US20150263902A1 (en) * 2012-09-27 2015-09-17 Orange Device and a method for managing access to a pool of computer and network resources made available to an entity by a cloud computing system
US20150261842A1 (en) * 2014-03-15 2015-09-17 International Business Machines Corporation Conformance specification and checking for hosting services
US9141887B2 (en) 2011-10-31 2015-09-22 Hewlett-Packard Development Company, L.P. Rendering permissions for rendering content
US20150286838A1 (en) * 2011-06-27 2015-10-08 Google Inc. Persistent key access to a resources in a collection
US20150304455A1 (en) * 2013-03-06 2015-10-22 Vmware, Inc. Method and system for providing a roaming remote desktop
US9170798B2 (en) 2012-03-02 2015-10-27 Vmware, Inc. System and method for customizing a deployment plan for a multi-tier application in a cloud infrastructure
US9171323B2 (en) 2010-06-15 2015-10-27 Oracle International Corporation Organizing data in a virtual computing infrastructure
US9182596B2 (en) 2010-02-28 2015-11-10 Microsoft Technology Licensing, Llc See-through near-eye display glasses with the optical assembly including absorptive polarizers or anti-reflective coatings to reduce stray light
US20150326615A1 (en) * 2011-03-18 2015-11-12 Zscaler, Inc. Cloud based mobile device security and policy enforcement
US20150350035A1 (en) * 2014-05-27 2015-12-03 International Business Machines Corporation Managing information technology resources using metadata tags
US9208006B2 (en) 2013-03-11 2015-12-08 Sungard Availability Services, Lp Recovery Maturity Model (RMM) for readiness-based control of disaster recovery testing
US9218405B2 (en) * 2012-10-10 2015-12-22 Apple Inc. Batch processing and data synchronization in cloud-based systems
US9223134B2 (en) 2010-02-28 2015-12-29 Microsoft Technology Licensing, Llc Optical imperfections in a light transmissive illumination system for see-through near-eye display glasses
US9229227B2 (en) 2010-02-28 2016-01-05 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a light transmissive wedge shaped illumination system
US9235447B2 (en) 2011-03-03 2016-01-12 Cisco Technology, Inc. Extensible attribute summarization
US9251033B2 (en) 2011-07-07 2016-02-02 Vce Company, Llc Automatic monitoring and just-in-time resource provisioning system
US20160034294A1 (en) * 2014-07-29 2016-02-04 International Business Machines Corporation Dynamically deployed virtual machine
US9256648B2 (en) 2012-05-22 2016-02-09 International Business Machines Corporation Data handling in a cloud computing environment
US9286571B2 (en) 2012-04-01 2016-03-15 Empire Technology Development Llc Machine learning for database migration source
US9285589B2 (en) 2010-02-28 2016-03-15 Microsoft Technology Licensing, Llc AR glasses with event and sensor triggered control of AR eyepiece applications
US9341843B2 (en) 2010-02-28 2016-05-17 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a small scale image source
US9348652B2 (en) 2012-07-02 2016-05-24 Vmware, Inc. Multi-tenant-cloud-aggregation and application-support system
US20160147554A1 (en) * 2014-11-25 2016-05-26 Red Hat, Inc. Hot-swapping storage pool backend functional modules
US9366862B2 (en) 2010-02-28 2016-06-14 Microsoft Technology Licensing, Llc System and method for delivering content to a group of see-through near eye display eyepieces
US9389898B2 (en) 2012-10-02 2016-07-12 Ca, Inc. System and method for enforcement of security controls on virtual machines throughout life cycle state changes
US9426019B1 (en) * 2011-09-29 2016-08-23 Amazon Technologies, Inc. Resource pooling and subletting from user to another user
US9424439B2 (en) 2011-09-12 2016-08-23 Microsoft Technology Licensing, Llc Secure data synchronization
US9430295B1 (en) * 2012-03-29 2016-08-30 Infoblox Inc. Internet protocol address management (IPAM) integration with a plurality of virtualization tiers in the virtual cloud
US9444735B2 (en) 2014-02-27 2016-09-13 Cisco Technology, Inc. Contextual summarization tag and type match using network subnetting
US20160266892A1 (en) * 2013-12-18 2016-09-15 Hewlett Packard Enterprise Development Lp Patching of virtual machines during data recovery
US9448790B2 (en) 2010-04-26 2016-09-20 Pivotal Software, Inc. Rapid updating of cloud applications
US9465957B2 (en) 2013-11-07 2016-10-11 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Preventing predetermined type of configuration changes to computing devices in a computing system servicing a critical job
US9479396B2 (en) 2013-05-31 2016-10-25 Sungard Availability Services, Lp XML based generic UNIX discovery framework
US9485145B1 (en) * 2013-11-25 2016-11-01 Vce Company, Llc System, method, apparatus, and computer program product for determining a configuration of a converged infrastructure
US9489647B2 (en) 2008-06-19 2016-11-08 Csc Agility Platform, Inc. System and method for a cloud computing abstraction with self-service portal for publishing resources
US9513950B2 (en) 2012-07-25 2016-12-06 Vmware, Inc. Dynamic resource configuration based on context
US9524200B2 (en) 2015-03-31 2016-12-20 At&T Intellectual Property I, L.P. Consultation among feedback instances
US9553787B1 (en) 2013-04-29 2017-01-24 Amazon Technologies, Inc. Monitoring hosted service usage
US9619545B2 (en) 2013-06-28 2017-04-11 Oracle International Corporation Naïve, client-side sharding with online addition of shards
US9632802B2 (en) 2013-06-14 2017-04-25 Sap Se Automatic configuration of mobile programs
US20170134246A1 (en) * 2013-08-21 2017-05-11 International Business Machines Corporation Using discovered virtual-infrastructure attributes to automatically generate a service-catalog entry
US9658868B2 (en) 2008-06-19 2017-05-23 Csc Agility Platform, Inc. Cloud computing gateway, cloud computing hypervisor, and methods for implementing same
US9667515B1 (en) 2011-09-29 2017-05-30 Amazon Technologies, Inc. Service image notifications
US20170171029A1 (en) * 2015-12-15 2017-06-15 Microsoft Technology Licensing, Llc End-to-end automated servicing model for cloud computing platforms
US9710292B2 (en) 2013-08-02 2017-07-18 International Business Machines Corporation Allowing management of a virtual machine by multiple cloud providers
US9729623B2 (en) 2014-03-15 2017-08-08 International Business Machines Corporation Specification-guided migration
US9753784B2 (en) 2013-11-27 2017-09-05 At&T Intellectual Property I, L.P. Cloud delivery platform
US9759917B2 (en) 2010-02-28 2017-09-12 Microsoft Technology Licensing, Llc AR glasses with event and sensor triggered AR eyepiece interface to external devices
US9769206B2 (en) 2015-03-31 2017-09-19 At&T Intellectual Property I, L.P. Modes of policy participation for feedback instances
US9772831B2 (en) 2010-04-26 2017-09-26 Pivotal Software, Inc. Droplet execution engine for dynamic server application deployment
US9774489B1 (en) * 2010-09-29 2017-09-26 Amazon Technologies, Inc. Allocating computing resources according to reserved capacity
US9785461B2 (en) 2015-05-14 2017-10-10 International Business Machines Corporation Performing server migration and dependent server discovery in parallel
WO2017190058A1 (en) * 2016-04-28 2017-11-02 Snowflake Computing Inc. Multi-cluster warehouse
US20170323105A1 (en) * 2016-04-25 2017-11-09 Cloudminds (Shenzhen) Robotics Systems Co., Ltd. Virtual machine creation method and apparatus
US9838260B1 (en) 2014-03-25 2017-12-05 Amazon Technologies, Inc. Event-based data path detection
US9858060B2 (en) 2014-05-09 2018-01-02 International Business Machines Corporation Automated deployment of a private modular cloud-computing environment
US9992277B2 (en) 2015-03-31 2018-06-05 At&T Intellectual Property I, L.P. Ephemeral feedback instances
US10031783B2 (en) 2012-03-02 2018-07-24 Vmware, Inc. Execution of a distributed deployment plan for a multi-tier application in a cloud infrastructure
US10073906B2 (en) 2016-04-27 2018-09-11 Oracle International Corporation Scalable tri-point arbitration and clustering
US10075304B2 (en) 2015-10-30 2018-09-11 Microsoft Technology Licensing, Llc Multiple gateway operation on single operating system
US10114678B2 (en) * 2010-05-28 2018-10-30 Micro Focus Software Inc. Techniques for managing service definitions in an intelligent workload management system

Families Citing this family (373)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9710852B1 (en) 2002-05-30 2017-07-18 Consumerinfo.Com, Inc. Credit report timeline user interface
US9400589B1 (en) 2002-05-30 2016-07-26 Consumerinfo.Com, Inc. Circular rotational interface for display of consumer credit information
US9443268B1 (en) 2013-08-16 2016-09-13 Consumerinfo.Com, Inc. Bill payment and reporting
US6959325B2 (en) * 2003-08-11 2005-10-25 Teamon Systems, Inc. System and method for generating configurations used for accessing electronic mailboxes
US20140373144A9 (en) * 2006-05-22 2014-12-18 Alen Capalik System and method for analyzing unauthorized intrusion into a computer network
US8036979B1 (en) 2006-10-05 2011-10-11 Experian Information Solutions, Inc. System and method for generating a finance attribute from tradeline data
US20080104022A1 (en) 2006-10-31 2008-05-01 Bank Of America Corporation Document indexing and delivery system
US8606666B1 (en) 2007-01-31 2013-12-10 Experian Information Solutions, Inc. System and method for providing an aggregation tool
US8606626B1 (en) 2007-01-31 2013-12-10 Experian Information Solutions, Inc. Systems and methods for providing a direct marketing campaign planning environment
US8285656B1 (en) 2007-03-30 2012-10-09 Consumerinfo.Com, Inc. Systems and methods for data verification
WO2008147918A3 (en) 2007-05-25 2009-01-22 Experian Information Solutions System and method for automated detection of never-pay data sets
US9495152B2 (en) 2007-06-22 2016-11-15 Red Hat, Inc. Automatic baselining of business application service groups comprised of virtual machines
US9727440B2 (en) * 2007-06-22 2017-08-08 Red Hat, Inc. Automatic simulation of virtual machine performance
US9569330B2 (en) 2007-06-22 2017-02-14 Red Hat, Inc. Performing dependency analysis on nodes of a business application service group
US8935701B2 (en) 2008-03-07 2015-01-13 Dell Software Inc. Unified management platform in a computer network
US8127986B1 (en) 2007-12-14 2012-03-06 Consumerinfo.Com, Inc. Card registry systems and methods
WO2009108344A1 (en) 2008-02-29 2009-09-03 Vkernel Corporation Method, system and apparatus for managing, modeling, predicting, allocating and utilizing resources and bottlenecks in a computer network
US8312033B1 (en) 2008-06-26 2012-11-13 Experian Marketing Solutions, Inc. Systems and methods for providing an integrated identifier
US9256904B1 (en) 2008-08-14 2016-02-09 Experian Information Solutions, Inc. Multi-bureau credit file freeze and unfreeze
WO2010132492A3 (en) 2009-05-11 2014-03-20 Experian Marketing Solutions, Inc. Systems and methods for providing anonymized user profile data
CN101667966B (en) * 2009-06-11 2011-10-26 中兴通讯股份有限公司 Method and system for realizing far-end mirror image of router
US9357568B2 (en) * 2009-06-16 2016-05-31 Futurewei Technologies, Inc. System and method for adapting an application source rate to a load condition
US9594782B2 (en) * 2013-12-23 2017-03-14 Ic Manage, Inc. Hierarchical file block variant store apparatus and method of operation
US8819183B2 (en) * 2009-12-15 2014-08-26 International Business Machines Corporation Concurrent execution of request processing and analytics of requests
US8874638B2 (en) * 2009-12-15 2014-10-28 International Business Machines Corporation Interactive analytics processing
US8892762B2 (en) * 2009-12-15 2014-11-18 International Business Machines Corporation Multi-granular stream processing
US9684785B2 (en) * 2009-12-17 2017-06-20 Red Hat, Inc. Providing multiple isolated execution environments for securely accessing untrusted content
US20110179173A1 (en) * 2010-01-15 2011-07-21 Carol Colrain Conditional dependency in a computing cluster
US9098334B2 (en) * 2010-01-15 2015-08-04 Oracle International Corporation Special values in oracle clusterware resource profiles
US8583798B2 (en) * 2010-01-15 2013-11-12 Oracle International Corporation Unidirectional resource and type dependencies in oracle clusterware
US8438573B2 (en) * 2010-01-15 2013-05-07 Oracle International Corporation Dependency on a resource type
US9069619B2 (en) * 2010-01-15 2015-06-30 Oracle International Corporation Self-testable HA framework library infrastructure
US8949425B2 (en) 2010-01-15 2015-02-03 Oracle International Corporation “Local resource” type as a way to automate management of infrastructure resources in oracle clusterware
US9207987B2 (en) * 2010-01-15 2015-12-08 Oracle International Corporation Dispersion dependency in oracle clusterware
US8352799B2 (en) * 2010-02-12 2013-01-08 Symantec Corporation Data corruption prevention during application restart and recovery
US8938782B2 (en) * 2010-03-15 2015-01-20 Symantec Corporation Systems and methods for providing network access control in virtual environments
US20110231912A1 (en) * 2010-03-19 2011-09-22 Salesforce.Com, Inc. System, method and computer program product for authenticating a mobile device using an access token
US8255508B2 (en) 2010-03-24 2012-08-28 International Business Machines Corporation Administration of virtual machine affinity in a data center
US20110238490A1 (en) * 2010-03-25 2011-09-29 Microsoft Corporation Auction flighting
US8922559B2 (en) 2010-03-26 2014-12-30 Microsoft Corporation Graph clustering
EP2383652A1 (en) * 2010-03-31 2011-11-02 British Telecommunications public limited company Performance monitoring for virtual machines
US20110246376A1 (en) * 2010-03-31 2011-10-06 International Business Machines Corporation Cost benefit based analysis system for network environments
US9367362B2 (en) 2010-04-01 2016-06-14 International Business Machines Corporation Administration of virtual machine affinity in a cloud computing environment
US8572612B2 (en) 2010-04-14 2013-10-29 International Business Machines Corporation Autonomic scaling of virtual machines in a cloud computing environment
US20110258481A1 (en) * 2010-04-14 2011-10-20 International Business Machines Corporation Deploying A Virtual Machine For Disaster Recovery In A Cloud Computing Environment
US9245246B2 (en) 2010-04-22 2016-01-26 International Business Machines Corporation Capacity over-commit management in resource provisioning environments
US8732310B2 (en) * 2010-04-22 2014-05-20 International Business Machines Corporation Policy-driven capacity management in resource provisioning environments
US8386423B2 (en) * 2010-05-28 2013-02-26 Microsoft Corporation Scalable policy-based database synchronization of scopes
US8544075B2 (en) * 2010-06-15 2013-09-24 Microsoft Corporation Extending a customer relationship management eventing framework to a cloud computing environment in a secure manner
US8775625B2 (en) * 2010-06-16 2014-07-08 Juniper Networks, Inc. Virtual machine mobility in data centers
US20110313803A1 (en) * 2010-06-22 2011-12-22 Microsoft Corporation Social Task Lists
US9106697B2 (en) * 2010-06-24 2015-08-11 NeurallQ, Inc. System and method for identifying unauthorized activities on a computer system using a data structure model
US9721215B2 (en) * 2010-06-30 2017-08-01 International Business Machines Corporation Enhanced management of a web conferencing server
US8539078B2 (en) * 2010-07-08 2013-09-17 International Business Machines Corporation Isolating resources between tenants in a software-as-a-service system using the estimated costs of service requests
US8478879B2 (en) * 2010-07-13 2013-07-02 International Business Machines Corporation Optimizing it infrastructure configuration
JP5507368B2 (en) * 2010-07-13 2014-05-28 富士通テレコムネットワークス株式会社 The agent device and setting undo method of Snmp
US8694777B2 (en) 2010-08-13 2014-04-08 International Business Machines Corporation Securely identifying host systems
US9323561B2 (en) * 2010-08-13 2016-04-26 International Business Machines Corporation Calibrating cloud computing environments
US8478845B2 (en) * 2010-08-16 2013-07-02 International Business Machines Corporation End-to-end provisioning of storage clouds
US9250974B1 (en) * 2010-09-08 2016-02-02 Disney Enterprises, Inc. Systems and methods for configuring and managing computing resources to provide highly-scalable services
US8949410B2 (en) 2010-09-10 2015-02-03 Cisco Technology, Inc. Server load balancer scaling for virtual servers
WO2012051422A3 (en) * 2010-10-13 2012-07-19 Zte (Usa) Inc. System and method for multimedia multi-party peering (m2p2)
US8832794B2 (en) * 2010-10-20 2014-09-09 Jeffry David Aronson Single-point-of-access cyber system
US9645839B2 (en) * 2010-10-27 2017-05-09 Microsoft Technology Licensing, Llc Stateful applications operating in a stateless cloud computing environment
US20130173648A1 (en) * 2010-10-29 2013-07-04 Xiang Tan Software Application Recognition
US9032053B2 (en) * 2010-10-29 2015-05-12 Nokia Corporation Method and apparatus for upgrading components of a cluster
US8910155B1 (en) * 2010-11-02 2014-12-09 Symantec Corporation Methods and systems for injecting endpoint management agents into virtual machines
US9037720B2 (en) 2010-11-19 2015-05-19 International Business Machines Corporation Template for optimizing IT infrastructure configuration
US9147042B1 (en) 2010-11-22 2015-09-29 Experian Information Solutions, Inc. Systems and methods for data verification
US9258312B1 (en) 2010-12-06 2016-02-09 Amazon Technologies, Inc. Distributed policy enforcement with verification mode
US20120158806A1 (en) * 2010-12-20 2012-06-21 Verizon Patent And Licensing Inc. Provisioning network-attached storage
US8863138B2 (en) * 2010-12-22 2014-10-14 Intel Corporation Application service performance in cloud computing
US9354852B2 (en) 2010-12-23 2016-05-31 Microsoft Technology Licensing, Llc Satisfying application dependencies
JP5623271B2 (en) * 2010-12-27 2014-11-12 インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation The information processing apparatus, rights management method, program and recording medium
US8621081B2 (en) * 2010-12-29 2013-12-31 Verizon Patent And Licensing Inc. Hypervisor controlled user device that enables available user device resources to be used for cloud computing
US20120173717A1 (en) * 2010-12-31 2012-07-05 Vince Kohli Cloud*Innovator
US8788669B2 (en) * 2011-01-03 2014-07-22 Novell, Inc. Policy and identity based workload provisioning
US9584949B2 (en) * 2011-01-27 2017-02-28 Microsoft Technology Licensing, Llc Cloud based master data management architecture
CN103733194A (en) * 2011-01-27 2014-04-16 康姆普特奈科斯特有限公司 Dynamically organizing cloud computing resources to facilitate discovery
US9128768B2 (en) * 2011-01-27 2015-09-08 Microsoft Technology Licensing, LCC Cloud based master data management
US9063789B2 (en) 2011-02-08 2015-06-23 International Business Machines Corporation Hybrid cloud integrator plug-in components
US9009697B2 (en) 2011-02-08 2015-04-14 International Business Machines Corporation Hybrid cloud integrator
US20120204187A1 (en) * 2011-02-08 2012-08-09 International Business Machines Corporation Hybrid Cloud Workload Management
US20120210436A1 (en) * 2011-02-14 2012-08-16 Alan Rouse System and method for fingerprinting in a cloud-computing environment
US9027151B2 (en) 2011-02-17 2015-05-05 Red Hat, Inc. Inhibiting denial-of-service attacks using group controls
US8903884B2 (en) * 2011-02-21 2014-12-02 Microsoft Corporation Multi-tenant services gateway
US8988998B2 (en) 2011-02-25 2015-03-24 International Business Machines Corporation Data processing environment integration control
US9104672B2 (en) 2011-02-25 2015-08-11 International Business Machines Corporation Virtual security zones for data processing environments
US9053580B2 (en) 2011-02-25 2015-06-09 International Business Machines Corporation Data processing environment integration control interface
US9128773B2 (en) 2011-02-25 2015-09-08 International Business Machines Corporation Data processing environment event correlation
US20120233236A1 (en) * 2011-03-07 2012-09-13 Min-Shu Chen Cloud-based system for serving service request of embedded device by cloud computing and related cloud-based processing method thereof
US9195510B2 (en) * 2011-04-04 2015-11-24 Dell Products L.P. Information handling system application decentralized workload management
US8627274B2 (en) * 2011-04-11 2014-01-07 International Business Machines Corporation Software tool and method for generating a virtual appliance
US8806483B2 (en) * 2011-04-13 2014-08-12 International Business Machines Corporation Determining starting values for virtual machine attributes in a networked computing environment
US9189419B2 (en) 2011-04-14 2015-11-17 Vmware, Inc. Detecting and suppressing redundant input-output operations
US20120266026A1 (en) * 2011-04-18 2012-10-18 Ramya Malanai Chikkalingaiah Detecting and diagnosing misbehaving applications in virtualized computing systems
US9558519B1 (en) 2011-04-29 2017-01-31 Consumerinfo.Com, Inc. Exposing reporting cycle information
WO2012151392A1 (en) * 2011-05-04 2012-11-08 Citrix Systems, Inc. Systems and methods for sr-iov pass-thru via an intermediary device
US8769531B2 (en) * 2011-05-25 2014-07-01 International Business Machines Corporation Optimizing the configuration of virtual machine instances in a networked computing environment
US8973108B1 (en) * 2011-05-31 2015-03-03 Amazon Technologies, Inc. Use of metadata for computing resource access
US8984508B2 (en) * 2011-06-02 2015-03-17 Vmware, Inc. System and method for restarting a workload based on global load balancing
US9118642B2 (en) * 2011-06-05 2015-08-25 Apple Inc. Asset streaming
US20120317500A1 (en) * 2011-06-07 2012-12-13 At&T Intellectual Property I, L.P. System and method for data visualization and user collaboration
US9122817B2 (en) * 2011-06-09 2015-09-01 Brigham Young University Collaborative CAx apparatus and method
US20140181309A1 (en) * 2011-06-14 2014-06-26 Zte Usa Inc. Method and system for cloud-based identity management (c-idm) implementation
US9607336B1 (en) 2011-06-16 2017-03-28 Consumerinfo.Com, Inc. Providing credit inquiry alerts
US20120324456A1 (en) * 2011-06-16 2012-12-20 Microsoft Corporation Managing nodes in a high-performance computing system using a node registrar
US8832775B2 (en) 2011-06-17 2014-09-09 Novell, Inc. Techniques for workload spawning
US9176773B2 (en) * 2011-06-29 2015-11-03 Microsoft Technology Licensing, Llc Virtual machine migration tool
US8732109B1 (en) 2011-07-29 2014-05-20 The Boeing Company Structured requirement generation and assessment
US9158590B2 (en) * 2011-08-08 2015-10-13 International Business Machines Corporation Dynamically acquiring computing resources in a networked computing environment
US8539558B2 (en) 2011-08-15 2013-09-17 Bank Of America Corporation Method and apparatus for token-based token termination
US8806602B2 (en) 2011-08-15 2014-08-12 Bank Of America Corporation Apparatus and method for performing end-to-end encryption
US8752124B2 (en) 2011-08-15 2014-06-10 Bank Of America Corporation Apparatus and method for performing real-time authentication using subject token combinations
US8789143B2 (en) 2011-08-15 2014-07-22 Bank Of America Corporation Method and apparatus for token-based conditioning
US8950002B2 (en) * 2011-08-15 2015-02-03 Bank Of America Corporation Method and apparatus for token-based access of related resources
US9495222B1 (en) * 2011-08-26 2016-11-15 Dell Software Inc. Systems and methods for performance indexing
US8612599B2 (en) * 2011-09-07 2013-12-17 Accenture Global Services Limited Cloud service monitoring system
US9038049B2 (en) 2011-09-09 2015-05-19 Microsoft Technology Licensing, Llc Automated discovery of resource definitions and relationships in a scripting environment
US9026837B2 (en) * 2011-09-09 2015-05-05 Microsoft Technology Licensing, Llc Resource aware placement of applications in clusters
US9106691B1 (en) 2011-09-16 2015-08-11 Consumerinfo.Com, Inc. Systems and methods of identity protection and management
US9646054B2 (en) * 2011-09-21 2017-05-09 Hewlett Packard Enterprise Development Lp Matching of cases based on attributes including an attribute relating to flow of activities
US9886312B2 (en) * 2011-09-28 2018-02-06 Microsoft Technology Licensing, Llc Dynamic provisioning of virtual video memory based on virtual video controller configuration
US9275204B1 (en) * 2011-09-28 2016-03-01 Marvell International Ltd. Enhanced network access-control credentials
US9203613B2 (en) 2011-09-29 2015-12-01 Amazon Technologies, Inc. Techniques for client constructed sessions
US9178701B2 (en) 2011-09-29 2015-11-03 Amazon Technologies, Inc. Parameter based key derivation
US9197409B2 (en) 2011-09-29 2015-11-24 Amazon Technologies, Inc. Key derivation techniques
FR2980937A1 (en) * 2011-09-30 2013-04-05 France Telecom Method for sharing web application across multiple computer terminals subsequently assembled a communication network
US9213686B2 (en) * 2011-10-04 2015-12-15 Wfh Properties Llc System and method for managing a form completion process
US9183528B2 (en) 2011-10-07 2015-11-10 Microsoft Technology Licensing, Llc Generating a compliance data model for IT control
WO2013055313A1 (en) * 2011-10-10 2013-04-18 Hewlett-Packard Development Company, L.P. Methods and systems for planning execution of an application in a cloud computing system
US20130091285A1 (en) * 2011-10-11 2013-04-11 International Business Machines Corporation Discovery-based identification and migration of easily cloudifiable applications
US8738516B1 (en) 2011-10-13 2014-05-27 Consumerinfo.Com, Inc. Debt services candidate locator
US9154549B2 (en) * 2011-10-27 2015-10-06 Cisco Technology, Inc. Dynamic server farms
US9009318B2 (en) 2011-11-03 2015-04-14 Microsoft Corporation Offline resource allocation algorithms
US8881143B2 (en) * 2011-11-04 2014-11-04 Diwakar PRABHAKARAN Optimization framework for remotely executing a maintenance operation on a virtual machine
US9886369B2 (en) * 2011-11-13 2018-02-06 International Business Machines Corporation Dynamic data fabrication for database applications
US9519472B2 (en) * 2011-11-23 2016-12-13 Red Hat, Inc. Automation of virtual machine installation by splitting an installation into a minimal installation and customization
US9232020B2 (en) * 2011-12-14 2016-01-05 Siemens Aktiengesellschaft Deploying services during fulfillment of a service request
KR101696698B1 (en) * 2011-12-23 2017-01-17 한국전자통신연구원 Distribution and management method of components having reliance
US8966085B2 (en) * 2012-01-04 2015-02-24 International Business Machines Corporation Policy-based scaling of computing resources in a networked computing environment
US8775507B2 (en) * 2012-01-05 2014-07-08 Microsoft Corporation Rest interface for job submission
US9336061B2 (en) 2012-01-14 2016-05-10 International Business Machines Corporation Integrated metering of service usage for hybrid clouds
US8839350B1 (en) * 2012-01-25 2014-09-16 Symantec Corporation Sending out-of-band notifications
US9100306B2 (en) * 2012-02-16 2015-08-04 International Business Machines Corporation Managing cloud services
US20130219156A1 (en) * 2012-02-22 2013-08-22 Sungard Availability Services Lp Compliance aware change control
US9043456B2 (en) * 2012-02-28 2015-05-26 Arris Technology, Inc. Identity data management system for high volume production of product-specific identity data
US9400641B2 (en) * 2012-02-29 2016-07-26 Red Hat, Inc. Adaptable middleware layer
US20130238785A1 (en) * 2012-03-06 2013-09-12 Rackspace Us, Inc. System and Method for Metadata Discovery and Metadata-Aware Scheduling
US8335851B1 (en) * 2012-03-12 2012-12-18 Ringcentral, Inc. Network resource deployment for cloud-based services
US8793766B2 (en) * 2012-03-13 2014-07-29 International Business Machines Corporation Method and apparatus for security-aware elasticity of application and services
JP5675679B2 (en) * 2012-03-13 2015-02-25 株式会社東芝 Virtual image file creation system and the virtual image file creation method
US9401904B1 (en) * 2012-03-15 2016-07-26 Motio, Inc. Security migration in a business intelligence environment
WO2013140460A1 (en) * 2012-03-23 2013-09-26 Hitachi, Ltd. Patch applying method for virtual machine by cloning an operating system image on shared storage and applying a patch to this cloned image
US8892865B1 (en) 2012-03-27 2014-11-18 Amazon Technologies, Inc. Multiple authority key derivation
US9215076B1 (en) 2012-03-27 2015-12-15 Amazon Technologies, Inc. Key generation for hierarchical data access
US8739308B1 (en) 2012-03-27 2014-05-27 Amazon Technologies, Inc. Source identification for unauthorized copies of content
US9455883B1 (en) * 2012-03-30 2016-09-27 Emc Corporation Method and apparatus for provisioning shared NFS storage
US9086929B2 (en) 2012-04-06 2015-07-21 International Business Machines Corporation Dynamic allocation of a workload across a plurality of clouds
US9071613B2 (en) 2012-04-06 2015-06-30 International Business Machines Corporation Dynamic allocation of workload deployment units across a plurality of clouds
US20130290237A1 (en) * 2012-04-27 2013-10-31 International Business Machines Corporation Discovery and grouping of related computing resources using machine learning
US9626526B2 (en) * 2012-04-30 2017-04-18 Ca, Inc. Trusted public infrastructure grid cloud
US9853959B1 (en) 2012-05-07 2017-12-26 Consumerinfo.Com, Inc. Storage and maintenance of personal data
US9256846B2 (en) * 2012-05-16 2016-02-09 Honeywell International Inc. System and method for performance monitoring of a population of equipment
US8984583B2 (en) * 2012-05-30 2015-03-17 Accenture Global Services Limited Healthcare privacy breach prevention through integrated audit and access control
US9053302B2 (en) * 2012-06-08 2015-06-09 Oracle International Corporation Obligation system for enterprise environments
US9304801B2 (en) * 2012-06-12 2016-04-05 TELEFONAKTIEBOLAGET L M ERRICSSON (publ) Elastic enforcement layer for cloud security using SDN
US20130339424A1 (en) * 2012-06-15 2013-12-19 Infosys Limited Deriving a service level agreement for an application hosted on a cloud platform
KR101859115B1 (en) * 2012-06-18 2018-05-17 엠파이어 테크놀로지 디벨롭먼트 엘엘씨 Virtual machine migration in a cloud fabric
US9247062B2 (en) * 2012-06-19 2016-01-26 Twilio, Inc. System and method for queuing a communication session
US8515796B1 (en) * 2012-06-20 2013-08-20 International Business Machines Corporation Prioritizing client accounts
US9436921B2 (en) * 2012-06-21 2016-09-06 International Business Machines Corporation Intelligent service management and process control using policy-based automation and predefined task templates
US9258118B1 (en) 2012-06-25 2016-02-09 Amazon Technologies, Inc. Decentralized verification in a distributed system
US9660972B1 (en) 2012-06-25 2017-05-23 Amazon Technologies, Inc. Protection from data security threats
US20140007097A1 (en) * 2012-06-29 2014-01-02 Brocade Communications Systems, Inc. Dynamic resource allocation for virtual machines
US9027155B2 (en) 2012-07-02 2015-05-05 International Business Machines Corporation System for governing the disclosure of restricted data
US10025638B2 (en) * 2012-07-02 2018-07-17 Vmware, Inc. Multiple-cloud-computing-facility aggregation
CN104428760A (en) * 2012-07-03 2015-03-18 惠普发展公司,有限责任合伙企业 Managing a multitenant cloud service
EP2870542A4 (en) 2012-07-03 2016-03-09 Hewlett Packard Development Co Managing a cloud service
US20150244597A1 (en) * 2012-07-03 2015-08-27 Stephane H. Maes Managing a hybrid cloud service
US8843930B2 (en) * 2012-07-10 2014-09-23 Sap Ag Thread scheduling and control framework
US8856382B2 (en) 2012-07-30 2014-10-07 International Business Machines Corporation On-boarding services to a cloud environment
US20140040299A1 (en) * 2012-08-03 2014-02-06 Cisco Technology, Inc. Automated Method of Detecting Pattern Matches between Converged Infrastructure Models and an Operating Converged Infrastructure
US9509553B2 (en) * 2012-08-13 2016-11-29 Intigua, Inc. System and methods for management virtualization
JP5966765B2 (en) * 2012-08-22 2016-08-10 富士通株式会社 The information processing system, a relay device, an information processing program, and an information processing method
US8825550B2 (en) * 2012-08-23 2014-09-02 Amazon Technologies, Inc. Scaling a virtual machine instance
US9467355B2 (en) 2012-09-07 2016-10-11 Oracle International Corporation Service association model
US9397884B2 (en) 2012-09-07 2016-07-19 Oracle International Corporation Workflows for processing cloud services
US9253113B2 (en) 2012-09-07 2016-02-02 Oracle International Corporation Customizable model for throttling and prioritizing orders in a cloud environment
US9667470B2 (en) 2012-09-07 2017-05-30 Oracle International Corporation Failure handling in the execution flow of provisioning operations in a cloud environment
US9621435B2 (en) 2012-09-07 2017-04-11 Oracle International Corporation Declarative and extensible model for provisioning of cloud based services
US9542400B2 (en) 2012-09-07 2017-01-10 Oracle International Corporation Service archive support
US9069979B2 (en) 2012-09-07 2015-06-30 Oracle International Corporation LDAP-based multi-tenant in-cloud identity management system
US9276942B2 (en) * 2012-09-07 2016-03-01 Oracle International Corporation Multi-tenancy identity management system
WO2014042632A1 (en) * 2012-09-12 2014-03-20 Empire Technology Development, Llc Compound certifications for assurance without revealing infrastructure
US9967106B2 (en) 2012-09-24 2018-05-08 Brocade Communications Systems LLC Role based multicast messaging infrastructure
US20140088979A1 (en) * 2012-09-24 2014-03-27 Matthew S. Garman Providing system resources with secure containment units
US20150180949A1 (en) * 2012-10-08 2015-06-25 Hewlett-Packard Development Company, L.P. Hybrid cloud environment
US9400495B2 (en) * 2012-10-16 2016-07-26 Rockwell Automation Technologies, Inc. Industrial automation equipment and machine procedure simulation
US20140115661A1 (en) * 2012-10-22 2014-04-24 Electronics And Telecommunications Research Institute User authentication method and system for using web multi contents
US8914419B2 (en) 2012-10-30 2014-12-16 International Business Machines Corporation Extracting semantic relationships from table structures in electronic documents
US9654541B1 (en) 2012-11-12 2017-05-16 Consumerinfo.Com, Inc. Aggregating user web browsing data
US9916621B1 (en) 2012-11-30 2018-03-13 Consumerinfo.Com, Inc. Presentation of credit score factors
US9003361B2 (en) * 2012-11-30 2015-04-07 Red Hat Israel, Ltd. Generating a restful web service software development kit client
US20150304175A1 (en) * 2012-12-03 2015-10-22 Hewlett-Packard Development Company, L.P. Binding of application and infrastructure blueprints
US9344465B2 (en) * 2012-12-04 2016-05-17 International Business Machines Corporation Correlating computing network events
US9264486B2 (en) 2012-12-07 2016-02-16 Bank Of America Corporation Work load management platform
US9483289B2 (en) * 2012-12-17 2016-11-01 Unisys Corporation Operating system in a commodity-based computing system
CN103902265B (en) * 2012-12-26 2018-01-09 腾讯科技(深圳)有限公司 An application implemented method and related apparatus
US9769108B1 (en) * 2012-12-31 2017-09-19 Charles Schwab & Co., Inc. System and method for securing information provided via a social network application
US9250955B1 (en) * 2012-12-31 2016-02-02 Emc Corporation Managing task approval
US9448820B1 (en) * 2013-01-03 2016-09-20 Amazon Technologies, Inc. Constraint verification for distributed applications
US9146829B1 (en) 2013-01-03 2015-09-29 Amazon Technologies, Inc. Analysis and verification of distributed applications
US9804945B1 (en) 2013-01-03 2017-10-31 Amazon Technologies, Inc. Determinism for distributed applications
US20140188815A1 (en) * 2013-01-03 2014-07-03 Amazon Technologies, Inc Annotation of Resources in a Distributed Execution Environment
CN105229598A (en) * 2013-01-31 2016-01-06 惠普发展公司,有限责任合伙企业 Determining transferability of a computing resource to a cloud computing environment
US20140222991A1 (en) * 2013-02-05 2014-08-07 International Business Machines Corporation Sentry for information technology system blueprints
US9009722B2 (en) 2013-02-05 2015-04-14 International Business Machines Corporation Collaborative negotiation of system resources among virtual servers running in a network computing environment
US9384454B2 (en) * 2013-02-20 2016-07-05 Bank Of America Corporation Enterprise componentized workflow application
CN104021027B (en) 2013-02-28 2017-04-12 国际商业机器公司 It means providing a virtual method and apparatus
US9697263B1 (en) 2013-03-04 2017-07-04 Experian Information Solutions, Inc. Consumer data request fulfillment system
US9608958B2 (en) 2013-03-12 2017-03-28 Oracle International Corporation Lightweight directory access protocol (LDAP) join search mechanism
US9223570B2 (en) * 2013-03-14 2015-12-29 Red Hat, Inc. Migration assistance using compiler metadata
US9406085B1 (en) 2013-03-14 2016-08-02 Consumerinfo.Com, Inc. System and methods for credit dispute processing, resolution, and reporting
US9984206B2 (en) * 2013-03-14 2018-05-29 Volcano Corporation System and method for medical resource scheduling in a distributed medical system
US9870589B1 (en) 2013-03-14 2018-01-16 Consumerinfo.Com, Inc. Credit utilization tracking and reporting
US10102570B1 (en) 2013-03-14 2018-10-16 Consumerinfo.Com, Inc. Account vulnerability alerts
US9306978B2 (en) 2013-03-15 2016-04-05 Bracket Computing, Inc. Automatic tuning of virtual data center resource utilization policies
US9721086B2 (en) * 2013-03-15 2017-08-01 Advanced Elemental Technologies, Inc. Methods and systems for secure and reliable identity-based computing
US9378065B2 (en) 2013-03-15 2016-06-28 Advanced Elemental Technologies, Inc. Purposeful computing
US10075384B2 (en) 2013-03-15 2018-09-11 Advanced Elemental Technologies, Inc. Purposeful computing
US9292331B2 (en) * 2013-03-15 2016-03-22 Bracket Computing, Inc. Expansion of services for a virtual data center guest
US9904579B2 (en) 2013-03-15 2018-02-27 Advanced Elemental Technologies, Inc. Methods and systems for purposeful computing
US20140278826A1 (en) * 2013-03-15 2014-09-18 Adp, Inc. Enhanced Human Capital Management System and Method
GB201304874D0 (en) * 2013-03-18 2013-05-01 Ibm Robust service deployment
US20140324494A1 (en) * 2013-04-25 2014-10-30 International Business Machines Corporation Risk-limited dispatch of knowledge work
US9721147B1 (en) 2013-05-23 2017-08-01 Consumerinfo.Com, Inc. Digital identity
US20140359127A1 (en) * 2013-06-03 2014-12-04 Microsoft Corporation Zero touch deployment of private cloud infrastructure
US9124569B2 (en) * 2013-06-14 2015-09-01 Microsoft Technology Licensing, Llc User authentication in a cloud environment
US9407440B2 (en) 2013-06-20 2016-08-02 Amazon Technologies, Inc. Multiple authority data security and access
CN104239026A (en) * 2013-06-21 2014-12-24 伊姆西公司 Method and device for measuring performance of storage system
US9164977B2 (en) 2013-06-24 2015-10-20 International Business Machines Corporation Error correction in tables using discovered functional dependencies
US9268592B2 (en) * 2013-06-25 2016-02-23 Vmware, Inc. Methods and apparatus to generate a customized application blueprint
US9600461B2 (en) 2013-07-01 2017-03-21 International Business Machines Corporation Discovering relationships in tabular data
US9521000B1 (en) 2013-07-17 2016-12-13 Amazon Technologies, Inc. Complete forward access sessions
US9607039B2 (en) 2013-07-18 2017-03-28 International Business Machines Corporation Subject-matter analysis of tabular data
US20150046600A1 (en) * 2013-08-08 2015-02-12 Samsung Electronics Co., Ltd. Method and apparatus for distributing data in hybrid cloud environment
US20150058997A1 (en) * 2013-08-20 2015-02-26 Teleputers, Llc System and Method for Self-Protecting Data
US9380019B2 (en) * 2013-08-26 2016-06-28 Verisign, Inc. Command performance monitoring
US20150066817A1 (en) * 2013-08-27 2015-03-05 Persais, Llc System and method for virtual assistants with shared capabilities
US20150067676A1 (en) * 2013-08-27 2015-03-05 Connectloud, Inc. Method and apparatus for performing resource management for software defined clouds
US9729592B2 (en) * 2013-08-27 2017-08-08 Persais, Llc System and method for distributed virtual assistant platforms
US20150067677A1 (en) * 2013-08-27 2015-03-05 Connectloud, Inc. Method and apparatus for defining virtual machine placement logic that is configurable and restricts virtual machine provisioning within a software defined cloud
US20150067761A1 (en) * 2013-08-29 2015-03-05 International Business Machines Corporation Managing security and compliance of volatile systems
US9923837B2 (en) * 2013-08-29 2018-03-20 Ericsson Ab Method and system to allocate bandwidth based on task deadline in cloud computing networks
US9378230B1 (en) 2013-09-16 2016-06-28 Amazon Technologies, Inc. Ensuring availability of data in a set being uncorrelated over time
US9836377B1 (en) * 2013-09-18 2017-12-05 Ca, Inc. Profiling application performance data
US9237019B2 (en) 2013-09-25 2016-01-12 Amazon Technologies, Inc. Resource locators with keys
US9311500B2 (en) 2013-09-25 2016-04-12 Amazon Technologies, Inc. Data security using request-supplied keys
US9330108B2 (en) * 2013-09-30 2016-05-03 International Business Machines Corporation Multi-site heat map management
US9401953B2 (en) 2013-10-09 2016-07-26 At&T Intellectual Property I, L.P. Intelligent high-volume cloud application programming interface request caching
US9246920B2 (en) * 2013-10-09 2016-01-26 Globalfoundries Inc. Cloud resource cloning based on collaborative content
US9465834B2 (en) 2013-10-11 2016-10-11 Vmware, Inc. Methods and apparatus to manage virtual machines
US9542216B2 (en) 2013-10-15 2017-01-10 At&T Intellectual Property I, L.P. Richer model of cloud app markets
KR20130126569A (en) * 2013-10-24 2013-11-20 삼성에스디에스 주식회사 Multi-tenant saas platform and method for automated deployment of connector application, and tenant and service provider using virtual machine
GB201318778D0 (en) * 2013-10-24 2013-12-11 Eaton Ind France Sas Method of controlling a data centre architecture equipment
US9912570B2 (en) * 2013-10-25 2018-03-06 Brocade Communications Systems LLC Dynamic cloning of application infrastructures
US9065854B2 (en) * 2013-10-28 2015-06-23 Citrix Systems, Inc. Systems and methods for managing a guest virtual machine executing within a virtualized environment
US9619346B2 (en) * 2013-10-31 2017-04-11 Assured Information Security, Inc. Virtual machine introspection facilities
US10102536B1 (en) 2013-11-15 2018-10-16 Experian Information Solutions, Inc. Micro-geographic aggregation system
US9830314B2 (en) 2013-11-18 2017-11-28 International Business Machines Corporation Error correction in tables using a question and answer system
US9729615B2 (en) * 2013-11-18 2017-08-08 Nuwafin Holdings Ltd System and method for collaborative designing, development, deployment, execution, monitoring and maintenance of enterprise applications
US9477737B1 (en) 2013-11-20 2016-10-25 Consumerinfo.Com, Inc. Systems and user interfaces for dynamic access of multiple remote databases and synchronization of data based on user rules
US9529851B1 (en) 2013-12-02 2016-12-27 Experian Information Solutions, Inc. Server architecture for electronic data quality processing
US9329958B2 (en) * 2013-12-03 2016-05-03 Vmware, Inc. Efficient incremental checkpointing of virtual devices
US9420007B1 (en) 2013-12-04 2016-08-16 Amazon Technologies, Inc. Access control using impersonization
GB201321477D0 (en) * 2013-12-05 2014-01-22 Ibm Workload management
KR101619922B1 (en) * 2013-12-24 2016-05-12 전자부품연구원 Apparatus and Method for Providing Collaborative Service based on Virtual Resources
US9386007B2 (en) 2013-12-27 2016-07-05 Sap Se Multi-domain applications with authorization and authentication in cloud environment
US9374368B1 (en) 2014-01-07 2016-06-21 Amazon Technologies, Inc. Distributed passcode verification system
US9369461B1 (en) 2014-01-07 2016-06-14 Amazon Technologies, Inc. Passcode verification using hardware secrets
US9292711B1 (en) 2014-01-07 2016-03-22 Amazon Technologies, Inc. Hardware secret usage limits
US9882787B2 (en) 2014-01-09 2018-01-30 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Service management in appliance-based solutions
US9817683B2 (en) * 2014-01-10 2017-11-14 Dell Products, Lp Optimized remediation policy in a virtualized environment
US9270662B1 (en) 2014-01-13 2016-02-23 Amazon Technologies, Inc. Adaptive client-aware session security
US20160335338A1 (en) * 2014-01-20 2016-11-17 Hewlett-Packard Development Company, L.P. Controlling replication of identity information
US20150229722A1 (en) * 2014-02-07 2015-08-13 Vce Company, Llc System and method for generating converged views of a virtual computing environment
WO2015123319A3 (en) * 2014-02-11 2015-10-08 Aaron Boodman Authentication specific data
US9678731B2 (en) 2014-02-26 2017-06-13 Vmware, Inc. Methods and apparatus to generate a customized application blueprint
US9432405B2 (en) * 2014-03-03 2016-08-30 Microsoft Technology Licensing, Llc Communicating status regarding application of compliance policy updates
US20150256475A1 (en) * 2014-03-05 2015-09-10 Wipro Limited Systems and methods for designing an optimized infrastructure for executing computing processes
US9817651B2 (en) * 2014-03-17 2017-11-14 Successfactors, Inc. Recommending updates to an instance in a SaaS model
US9632835B2 (en) * 2014-03-17 2017-04-25 Ca, Inc. Deployment of virtual machines to physical host machines based on infrastructure utilization decisions
US9313208B1 (en) * 2014-03-19 2016-04-12 Amazon Technologies, Inc. Managing restricted access resources
US20150269515A1 (en) * 2014-03-21 2015-09-24 Sony Computer Entertainment America Llc Virtual objects with entitlements
USD759689S1 (en) 2014-03-25 2016-06-21 Consumerinfo.Com, Inc. Display screen or portion thereof with graphical user interface
USD760256S1 (en) 2014-03-25 2016-06-28 Consumerinfo.Com, Inc. Display screen or portion thereof with graphical user interface
USD759690S1 (en) 2014-03-25 2016-06-21 Consumerinfo.Com, Inc. Display screen or portion thereof with graphical user interface
US9305036B2 (en) * 2014-03-27 2016-04-05 International Business Machines Corporation Data set management using transient data structures
US9201933B2 (en) 2014-04-01 2015-12-01 BizDox, LLC Systems and methods for documenting, analyzing, and supporting information technology infrastructure
US9892457B1 (en) 2014-04-16 2018-02-13 Consumerinfo.Com, Inc. Providing credit data in search results
US9501211B2 (en) * 2014-04-17 2016-11-22 GoDaddy Operating Company, LLC User input processing for allocation of hosting server resources
US9774600B1 (en) * 2014-04-25 2017-09-26 VCE IP Holding Company LLC Methods, systems, and computer readable mediums for managing infrastructure elements in a network system
US9286290B2 (en) 2014-04-25 2016-03-15 International Business Machines Corporation Producing insight information from tables using natural language processing
US9531719B1 (en) * 2014-04-29 2016-12-27 Amazon Technologies, Inc. Permissions for hybrid distributed network resources
US9423957B2 (en) * 2014-05-02 2016-08-23 Ca, Inc. Adaptive system provisioning
US9473365B2 (en) 2014-05-08 2016-10-18 Cisco Technology, Inc. Collaborative inter-service scheduling of logical resources in cloud platforms
US20150331043A1 (en) * 2014-05-15 2015-11-19 Manoj R. Sastry System-on-chip secure debug
US9965263B2 (en) * 2014-06-02 2018-05-08 Gogrid, LLC Cloud orchestration engine
US9548907B2 (en) 2014-06-25 2017-01-17 International Business Machines Corporation Managing change in an information technology environment
US9258117B1 (en) 2014-06-26 2016-02-09 Amazon Technologies, Inc. Mutual authentication with symmetric secrets and signatures
US9430284B2 (en) * 2014-06-26 2016-08-30 Vmware, Inc. Processing virtual machine objects through multistep workflows
US9645805B2 (en) * 2014-06-26 2017-05-09 Vmware, Inc. Application blueprints based on service templates to deploy applications in different cloud environments
US20150378763A1 (en) 2014-06-30 2015-12-31 Vmware, Inc. Methods and apparatus to manage monitoring agents
US9405578B2 (en) * 2014-07-11 2016-08-02 Accenture Global Services Limited Intelligent application back stack management
US9354937B2 (en) * 2014-07-18 2016-05-31 Thomson Reuters Global Resources System and method for electronic work prediction and dynamically adjusting server resources
US9900391B2 (en) * 2014-08-05 2018-02-20 Microsoft Technology Licensing, Llc Automated orchestration of infrastructure service blocks in hosted services
US20160050158A1 (en) * 2014-08-14 2016-02-18 At&T Intellectual Property I, L.P. Workflow-Based Resource Management
US10013491B2 (en) * 2014-08-29 2018-07-03 Aditya Vasudevan Methods and systems of workload mobility across divergent platforms
US9705923B2 (en) 2014-09-02 2017-07-11 Symantec Corporation Method and apparatus for automating security provisioning of workloads
US9600664B1 (en) * 2014-09-03 2017-03-21 Amazon Technologies, Inc. Monitoring execution environments for approved configurations
US8984612B1 (en) * 2014-09-04 2015-03-17 Google Inc. Method of identifying an electronic device by browser versions and cookie scheduling
US9769254B2 (en) * 2014-09-15 2017-09-19 Ca, Inc. Productive spend metric based resource management for a portfolio of distributed computing systems
US20160080572A1 (en) * 2014-09-15 2016-03-17 Verizon Patent And Licensing, Inc. Call drop intelligent engine
US9444848B2 (en) * 2014-09-19 2016-09-13 Microsoft Technology Licensing, Llc Conditional access to services based on device claims
US10049141B2 (en) 2014-10-10 2018-08-14 salesforce.com,inc. Declarative specification of visualization queries, display formats and bindings
US9449188B2 (en) 2014-10-10 2016-09-20 Salesforce.Com, Inc. Integration user for analytical access to read only data stores generated from transactional systems
US10101889B2 (en) 2014-10-10 2018-10-16 Salesforce.Com, Inc. Dashboard builder with live data updating without exiting an edit mode
US9396018B2 (en) * 2014-10-10 2016-07-19 Salesforce.Com, Inc. Low latency architecture with directory service for integration of transactional data system with analytical data structures
US9594649B2 (en) 2014-10-13 2017-03-14 At&T Intellectual Property I, L.P. Network virtualization policy management system
US20160112249A1 (en) * 2014-10-15 2016-04-21 Nimbus 9, Inc. Rapid gateway swap
US9825813B2 (en) * 2014-10-31 2017-11-21 At&T Intellectual Property I, L.P. Creating and using service control functions
US9881159B1 (en) 2014-11-14 2018-01-30 Quest Software Inc. Workload execution systems and methods
US9495193B2 (en) * 2014-12-05 2016-11-15 International Business Machines Corporation Monitoring hypervisor and provisioned instances of hosted virtual machines using monitoring templates
US9942351B2 (en) * 2014-12-16 2018-04-10 International Business Machines Corporation Enabling and disabling execution environments
US9577884B2 (en) * 2015-01-01 2017-02-21 Bank Of America Corporation Enterprise quality assurance and lab management tool
WO2016112219A1 (en) 2015-01-07 2016-07-14 CounterTack, Inc. System and method for monitoring a computer system using machine interpretable code
US10057186B2 (en) 2015-01-09 2018-08-21 International Business Machines Corporation Service broker for computational offloading and improved resource utilization
US10043030B1 (en) 2015-02-05 2018-08-07 Amazon Technologies, Inc. Large-scale authorization data collection and aggregation
US10050862B2 (en) 2015-02-09 2018-08-14 Cisco Technology, Inc. Distributed application framework that uses network and application awareness for placing data
US10037617B2 (en) 2015-02-27 2018-07-31 Cisco Technology, Inc. Enhanced user interface systems including dynamic context selection for cloud-based networks
JP2016167138A (en) * 2015-03-09 2016-09-15 富士通株式会社 Information processing apparatus, workflow creation method, and workflow creation program
US20160269349A1 (en) * 2015-03-12 2016-09-15 General Electric Company System and method for orchestrating and correlating multiple software-controlled collaborative sessions through a unified conversational interface
US20160269319A1 (en) * 2015-03-13 2016-09-15 Microsoft Technology Licensing, Llc Intelligent Placement within a Data Center
US20160277255A1 (en) * 2015-03-20 2016-09-22 International Business Machines Corporation Optimizing allocation of multi-tasking servers
US20160294922A1 (en) * 2015-03-31 2016-10-06 Hewlett-Packard Development Company, L.P. Cloud models
WO2016182557A1 (en) * 2015-05-11 2016-11-17 Ryan Watson Surf software
US20160335113A1 (en) * 2015-05-15 2016-11-17 John Gorst Automated virtual desktop provisioning
US9935823B1 (en) 2015-05-28 2018-04-03 Servicenow, Inc. Change to availability mapping
US10089099B2 (en) 2015-06-05 2018-10-02 Cisco Technology, Inc. Automatic software upgrade
US10033766B2 (en) 2015-06-05 2018-07-24 Cisco Technology, Inc. Policy-driven compliance
US9967158B2 (en) 2015-06-05 2018-05-08 Cisco Technology, Inc. Interactive hierarchical network chord diagram for application dependency mapping
US20160359711A1 (en) 2015-06-05 2016-12-08 Cisco Technology, Inc. Late data detection in data center
US9996374B2 (en) 2015-06-16 2018-06-12 Assured Information Security, Inc. Deployment and installation of updates in a virtual environment
US9519505B1 (en) 2015-07-06 2016-12-13 Bank Of America Corporation Enhanced configuration and property management system
US10034201B2 (en) 2015-07-09 2018-07-24 Cisco Technology, Inc. Stateless load-balancing across multiple tunnels
CN106326002A (en) * 2015-07-10 2017-01-11 阿里巴巴集团控股有限公司 Resource scheduling method, device and equipment
US9807198B2 (en) 2015-08-20 2017-10-31 Google Inc. Methods and systems of identifying a device using strong component conflict detection
US10095740B2 (en) 2015-08-25 2018-10-09 International Business Machines Corporation Selective fact generation from table data in a cognitive system
US10089368B2 (en) 2015-09-18 2018-10-02 Salesforce, Inc. Systems and methods for making visual data representations actionable
US10067780B2 (en) 2015-10-06 2018-09-04 Cisco Technology, Inc. Performance-based public cloud selection for a hybrid cloud environment
US9588745B1 (en) 2015-10-13 2017-03-07 Bank Of America Corporation Customizable service delivery system with scalable workflow
US10084703B2 (en) 2015-12-04 2018-09-25 Cisco Technology, Inc. Infrastructure-exclusive service forwarding
US9514180B1 (en) 2015-12-18 2016-12-06 International Business Machines Corporation Workload discovery using real-time analysis of input streams
US9965313B2 (en) * 2016-01-05 2018-05-08 Bitdefender IPR Management Ltd. Systems and methods for auditing a virtual machine
CN105656927A (en) * 2016-02-23 2016-06-08 浙江宇视科技有限公司 Security access method and system
US10044636B2 (en) * 2016-03-11 2018-08-07 Sap Se Flow extension controller
US10102033B2 (en) * 2016-05-26 2018-10-16 International Business Machines Corporation Method and system for performance ticket reduction
US20180004645A1 (en) * 2016-06-30 2018-01-04 International Business Machines Corporation Run time and historical workload report scores for customer profiling visualization
US20180004633A1 (en) * 2016-06-30 2018-01-04 International Business Machines Corporation Run time automatic workload tuning using customer profiling workload comparison
US20180034703A1 (en) * 2016-07-26 2018-02-01 Cisco Technology, Inc. System and method for providing transmission of compliance requirements for cloud-based applications
US9578066B1 (en) * 2016-09-14 2017-02-21 Hytrust, Inc. Systems and method for assuring security governance in managed computer systems
US10073856B1 (en) * 2018-04-30 2018-09-11 Qumulo, Inc. Continuous replication for secure distributed filesystems

Citations (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020077986A1 (en) * 2000-07-14 2002-06-20 Hiroshi Kobata Controlling and managing digital assets
US20040260628A1 (en) * 2003-06-17 2004-12-23 Oracle International Corporation Hosted audit service
US20060265702A1 (en) * 2005-05-19 2006-11-23 Isaacson Scott A System for creating a customized software distribution based on user requirements
US20060265706A1 (en) * 2005-05-19 2006-11-23 Isaacson Scott A System for creating a customized software installation on demand
US20070073689A1 (en) * 2005-09-29 2007-03-29 Arunesh Chandra Automated intelligent discovery engine for classifying computer data files
US20080098457A1 (en) * 2006-10-19 2008-04-24 Novell, Inc. Identity controlled data center
US20080098392A1 (en) * 2006-10-19 2008-04-24 Wipfel Robert A Verifiable virtualized storage port assignments for virtual machines
US20080234919A1 (en) * 2007-03-16 2008-09-25 Curtis Paul Ritter Performing application review validation testing for an engine as installed in an application
US20080256535A1 (en) * 2007-04-10 2008-10-16 Novell, Inc. Tessellated virtual machines for common computing goals
US20080281654A1 (en) * 2007-05-09 2008-11-13 Novell, Inc. Data center life cycle management
US20090249284A1 (en) * 2008-02-29 2009-10-01 Doyenz Incorporated Automation for virtualized it environments
US7614050B2 (en) * 2004-03-31 2009-11-03 Hitachi, Ltd. Machine and method for deployment of OS image
US20090288082A1 (en) * 2008-05-19 2009-11-19 Novell, Inc. System and method for performing designated service image processing functions in a service image warehouse
US20090300151A1 (en) * 2008-05-30 2009-12-03 Novell, Inc. System and method for managing a virtual appliance lifecycle
US20090300607A1 (en) * 2008-05-29 2009-12-03 James Michael Ferris Systems and methods for identification and management of cloud-based virtual machines
US20090300601A1 (en) * 2008-05-30 2009-12-03 Faus Norman L Methods and systems for providing a hosted appliance and migrating the appliance to an on-premise environment
US7664712B1 (en) * 2005-08-05 2010-02-16 Troux Technologies Method and system for impact analysis using a data model
US20100115098A1 (en) * 2008-11-04 2010-05-06 Novell, Inc. Dynamic and automatic colocation and combining of service providers and service clients in a grid of resources
US20100228996A1 (en) * 1995-02-13 2010-09-09 Intertrust Technologies Corp. Systems and Methods for Secure Transaction Management and Electronic Rights Protection
US20100262794A1 (en) * 2009-04-14 2010-10-14 Novell, Inc. Data backup for virtual machines
US20100283637A1 (en) * 2006-12-06 2010-11-11 The Boeing Company Cloud Image Replacement for Terrain Display
US20100306772A1 (en) * 2009-06-01 2010-12-02 International Business Machines Corporation Virtual solution composition and deployment system and method
US20110041126A1 (en) * 2009-08-13 2011-02-17 Levy Roger P Managing workloads in a virtual computing environment
US20110047040A1 (en) * 2009-08-24 2011-02-24 Mark Carlson Alias identity and reputation validation engine
US20110083122A1 (en) * 2009-10-05 2011-04-07 Salesforce.Com, Inc. Method and system for massive large scale test infrastructure
US20110161952A1 (en) * 2009-12-31 2011-06-30 International Business Machines Corporation Porting Virtual Images Between Platforms
US20110173405A1 (en) * 2010-01-13 2011-07-14 International Business Machines Corporation System and method for reducing latency time with cloud services
US20110209064A1 (en) * 2010-02-24 2011-08-25 Novell, Inc. System and method for providing virtual desktop extensions on a client desktop
US20110213691A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for cloud-based brokerage exchange of software entitlements
US20110213687A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for or a usage manager for cross-cloud appliances
US20110214124A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for generating cross-cloud computing appliances
US20110271270A1 (en) * 2010-04-28 2011-11-03 Novell, Inc. System and method for upgrading kernels in cloud computing environments
US8069452B2 (en) * 2005-12-01 2011-11-29 Telefonaktiebolaget L M Ericsson (Publ) Method and management agent for event notifications correlation
US20110296001A1 (en) * 2010-05-28 2011-12-01 Ca, Inc. Privileged Activity Monitoring through Privileged User Password Management and Log Management Systems
US20120023222A1 (en) * 2010-07-22 2012-01-26 International Business Machines Corporation Moving deployment of images between computers
US20120054731A1 (en) * 2010-08-24 2012-03-01 International Business Machines Corporation Method, System and Computer Programs to Assist Migration to a Cloud Computing Environment
US20120066677A1 (en) * 2010-09-10 2012-03-15 International Business Machines Corporation On demand virtual machine image streaming
US20120072903A1 (en) * 2010-09-20 2012-03-22 International Business Machines Corporation Multi-image migration system and method
US20120084769A1 (en) * 2010-09-30 2012-04-05 International Business Machines Corporation Semantically rich composable software image bundles
US20120096149A1 (en) * 2010-10-13 2012-04-19 Sash Sunkara Cloud federation in a cloud computing environment
US8244037B2 (en) * 2007-11-15 2012-08-14 Master Wave International Company Ltd Image-based data management method and system

Family Cites Families (74)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5826239A (en) * 1996-12-17 1998-10-20 Hewlett-Packard Company Distributed workflow resource management system and method
US6658571B1 (en) * 1999-02-09 2003-12-02 Secure Computing Corporation Security framework for dynamically wrapping software applications executing in a computing system
US20030023686A1 (en) * 1999-05-05 2003-01-30 Beams Brian R. Virtual consultant
US7280991B1 (en) * 1999-05-05 2007-10-09 Indeliq, Inc. Creating collaborative simulations for creating collaborative simulations with multiple roles for a single student
US7047279B1 (en) * 2000-05-05 2006-05-16 Accenture, Llp Creating collaborative application sharing
US7577722B1 (en) * 2002-04-05 2009-08-18 Vmware, Inc. Provisioning of computer systems using virtual machines
WO2004008284A3 (en) * 2002-07-12 2004-04-15 Checkspert Inc System and method for remote supervision and authentication of user activities at communication network workstations
US8417678B2 (en) * 2002-07-30 2013-04-09 Storediq, Inc. System, method and apparatus for enterprise policy management
US7725562B2 (en) * 2002-12-31 2010-05-25 International Business Machines Corporation Method and system for user enrollment of user attribute storage in a federated environment
US7318092B2 (en) * 2003-01-23 2008-01-08 Computer Associates Think, Inc. Method and apparatus for remote discovery of software applications in a networked environment
US8069435B1 (en) * 2003-08-18 2011-11-29 Oracle America, Inc. System and method for integration of web services
US20050144022A1 (en) * 2003-12-29 2005-06-30 Evans Lori M. Web-based system, method, apparatus and software to manage performance securely across an extended enterprise and between entities
US7467378B1 (en) * 2004-02-09 2008-12-16 Symantec Corporation System state rollback after modification failure
US20070233508A1 (en) * 2004-05-05 2007-10-04 David Gillespie Corporate Control Management Software
GB0414421D0 (en) * 2004-06-28 2004-07-28 Nokia Corp Authenticating users
US7996785B2 (en) * 2004-06-30 2011-08-09 Microsoft Corporation Systems and methods for integrating application windows in a virtual machine environment
US8001587B2 (en) * 2004-10-08 2011-08-16 Sharp Laboratories Of America, Inc. Methods and systems for imaging device credential management
US20060085530A1 (en) * 2004-10-15 2006-04-20 Emc Corporation Method and apparatus for configuring, monitoring and/or managing resource groups using web services
US8510331B1 (en) * 2004-10-28 2013-08-13 Storediq, Inc. System and method for a desktop agent for use in managing file systems
US20060206370A1 (en) * 2004-11-16 2006-09-14 Netspace Technology Llc. Smart work-force tool
US8732182B2 (en) * 2004-12-02 2014-05-20 Desktopsites Inc. System and method for launching a resource in a network
US20060122955A1 (en) * 2004-12-02 2006-06-08 Alex Bethlehem System and method for launching a resource in a network
US9083748B2 (en) * 2004-12-16 2015-07-14 Hewlett-Packard Development Company, L.P. Modelling network to assess security properties
JP4733399B2 (en) * 2005-01-28 2011-07-27 株式会社日立製作所 Computer system, the computer, the storage system and a management terminal
US20060235733A1 (en) * 2005-04-13 2006-10-19 Marks Eric A System and method for providing integration of service-oriented architecture and Web services
US10063523B2 (en) * 2005-09-14 2018-08-28 Oracle International Corporation Crafted identities
US8429630B2 (en) * 2005-09-15 2013-04-23 Ca, Inc. Globally distributed utility computing cloud
US8239498B2 (en) * 2005-10-28 2012-08-07 Bank Of America Corporation System and method for facilitating the implementation of changes to the configuration of resources in an enterprise
US7519624B2 (en) * 2005-11-16 2009-04-14 International Business Machines Corporation Method for proactive impact analysis of policy-based storage systems
US7779091B2 (en) * 2005-12-19 2010-08-17 Vmware, Inc. Method and system for providing virtualized application workspaces
US8196205B2 (en) 2006-01-23 2012-06-05 University Of Washington Through Its Center For Commercialization Detection of spyware threats within virtual machine
US20070174429A1 (en) * 2006-01-24 2007-07-26 Citrix Systems, Inc. Methods and servers for establishing a connection between a client system and a virtual machine hosting a requested computing environment
US7818721B2 (en) * 2006-02-01 2010-10-19 Oracle America, Inc. Dynamic application tracing in virtual machine environments
US20070191979A1 (en) * 2006-02-10 2007-08-16 International Business Machines Corporation Method, program and apparatus for supporting inter-disciplinary workflow with dynamic artifacts
US7756828B2 (en) * 2006-02-28 2010-07-13 Microsoft Corporation Configuration management database state model
US8886929B2 (en) * 2006-03-29 2014-11-11 Intel Corporation Generating a chain of trust for a virtual endpoint
US8015563B2 (en) * 2006-04-14 2011-09-06 Microsoft Corporation Managing virtual machines with system-wide policies
US9392078B2 (en) * 2006-06-23 2016-07-12 Microsoft Technology Licensing, Llc Remote network access via virtual machine
US8365294B2 (en) * 2006-06-30 2013-01-29 Intel Corporation Hardware platform authentication and multi-platform validation
US7657639B2 (en) * 2006-07-21 2010-02-02 International Business Machines Corporation Method and system for identity provider migration using federated single-sign-on operation
US8949826B2 (en) * 2006-10-17 2015-02-03 Managelq, Inc. Control and management of virtual systems
US8281378B2 (en) * 2006-10-20 2012-10-02 Citrix Systems, Inc. Methods and systems for completing, by a single-sign on component, an authentication process in a federated environment to a resource not supporting federation
US20080120126A1 (en) * 2006-11-21 2008-05-22 George Bone Intelligent parallel processing system and method
US8181159B2 (en) * 2007-03-29 2012-05-15 Microsoft Corporation Test automation using virtual machines
US8146080B2 (en) * 2007-03-30 2012-03-27 Novell, Inc. Tessellated virtual machines conditionally linked for common computing goals
US20080256538A1 (en) * 2007-04-10 2008-10-16 Novell, Inc. Storage configurations for tessellated virtual machines
US20090006147A1 (en) * 2007-06-27 2009-01-01 Harirajan Padmanabhan Method and system for defining and managing information technology projects based on conceptual models
US8434129B2 (en) * 2007-08-02 2013-04-30 Fugen Solutions, Inc. Method and apparatus for multi-domain identity interoperability and compliance verification
US7895463B2 (en) * 2007-08-28 2011-02-22 Cisco Technology, Inc. Redundant application network appliances using a low latency lossless interconnect link
US20090077551A1 (en) * 2007-09-18 2009-03-19 Novell, Inc. Virtual machine image builder for automated installation of fully-virtualized operating system
US8276152B2 (en) * 2007-12-05 2012-09-25 Microsoft Corporation Validation of the change orders to an I T environment
US9727436B2 (en) * 2008-01-02 2017-08-08 International Business Machines Corporation Adding a profiling agent to a virtual machine to permit performance and memory consumption analysis within unit tests
US20090249219A1 (en) * 2008-03-31 2009-10-01 Best Steven F Providing a Shared Desktop Interface of Multiple Computer Terminals
US8689292B2 (en) * 2008-04-21 2014-04-01 Api Technologies Corp. Method and systems for dynamically providing communities of interest on an end user workstation
US8239509B2 (en) * 2008-05-28 2012-08-07 Red Hat, Inc. Systems and methods for management of virtual appliances in cloud-based network
US8121966B2 (en) * 2008-06-05 2012-02-21 International Business Machines Corporation Method and system for automated integrated server-network-storage disaster recovery planning
WO2009146979A1 (en) * 2008-06-05 2009-12-10 International Business Machines Corporation Method system and computer program for identifying software problems
US20090323799A1 (en) * 2008-06-25 2009-12-31 Stmicroelectronics, Inc. System and method for rendering a high-performance virtual desktop using compression technology
US9736153B2 (en) * 2008-06-27 2017-08-15 Microsoft Technology Licensing, Llc Techniques to perform federated authentication
US20090328030A1 (en) * 2008-06-27 2009-12-31 Microsoft Corporation Installing a management agent with a virtual machine
EP2304560B1 (en) * 2008-07-21 2017-02-08 International Business Machines Corporation A method and system for improvements in or relating to off-line virtual environments
US9733959B2 (en) * 2008-09-15 2017-08-15 Vmware, Inc. Policy-based hypervisor configuration management
US20100131959A1 (en) * 2008-11-26 2010-05-27 Spiers Adam Z Proactive application workload management
US20100198649A1 (en) * 2009-02-05 2010-08-05 International Business Machines Corporation Role tailored dashboards and scorecards in a portal solution that integrates retrieved metrics across an enterprise
US20100250298A1 (en) * 2009-03-25 2010-09-30 International Business Machines Corporation Prioritization enablement for soa governance
US8291416B2 (en) * 2009-04-17 2012-10-16 Citrix Systems, Inc. Methods and systems for using a plurality of historical metrics to select a physical host for virtual machine execution
US20100299738A1 (en) * 2009-05-19 2010-11-25 Microsoft Corporation Claims-based authorization at an identity provider
US8320549B2 (en) * 2009-06-18 2012-11-27 Microsoft Corporation Advanced call routing using linked identities
US8966017B2 (en) * 2009-07-09 2015-02-24 Novell, Inc. Techniques for cloud control and management
EP2460139A4 (en) * 2009-07-27 2015-05-27 Corista LLC System for networked digital pathology exchange
US20110093847A1 (en) * 2009-10-15 2011-04-21 Shah Dharmesh R Application Hosting Service for Cloud Environments Using Dynamic Machine Images
US20110126192A1 (en) * 2009-10-26 2011-05-26 Simon Frost Systems and methods for providing and updating a unified client
US20110126197A1 (en) * 2009-11-25 2011-05-26 Novell, Inc. System and method for controlling cloud and virtualized data centers in an intelligent workload management system
US8458688B2 (en) * 2009-12-28 2013-06-04 International Business Machines Corporation Virtual machine maintenance with mapped snapshots

Patent Citations (43)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100228996A1 (en) * 1995-02-13 2010-09-09 Intertrust Technologies Corp. Systems and Methods for Secure Transaction Management and Electronic Rights Protection
US20020077986A1 (en) * 2000-07-14 2002-06-20 Hiroshi Kobata Controlling and managing digital assets
US20040260628A1 (en) * 2003-06-17 2004-12-23 Oracle International Corporation Hosted audit service
US7614050B2 (en) * 2004-03-31 2009-11-03 Hitachi, Ltd. Machine and method for deployment of OS image
US20060265706A1 (en) * 2005-05-19 2006-11-23 Isaacson Scott A System for creating a customized software installation on demand
US20060277542A1 (en) * 2005-05-19 2006-12-07 Novell, Inc. System and method for creating a customized installation on demand
US20060265702A1 (en) * 2005-05-19 2006-11-23 Isaacson Scott A System for creating a customized software distribution based on user requirements
US7664712B1 (en) * 2005-08-05 2010-02-16 Troux Technologies Method and system for impact analysis using a data model
US20070073689A1 (en) * 2005-09-29 2007-03-29 Arunesh Chandra Automated intelligent discovery engine for classifying computer data files
US8069452B2 (en) * 2005-12-01 2011-11-29 Telefonaktiebolaget L M Ericsson (Publ) Method and management agent for event notifications correlation
US20080098392A1 (en) * 2006-10-19 2008-04-24 Wipfel Robert A Verifiable virtualized storage port assignments for virtual machines
US20080098457A1 (en) * 2006-10-19 2008-04-24 Novell, Inc. Identity controlled data center
US20100283637A1 (en) * 2006-12-06 2010-11-11 The Boeing Company Cloud Image Replacement for Terrain Display
US20080234919A1 (en) * 2007-03-16 2008-09-25 Curtis Paul Ritter Performing application review validation testing for an engine as installed in an application
US20080256535A1 (en) * 2007-04-10 2008-10-16 Novell, Inc. Tessellated virtual machines for common computing goals
US20080281654A1 (en) * 2007-05-09 2008-11-13 Novell, Inc. Data center life cycle management
US8244037B2 (en) * 2007-11-15 2012-08-14 Master Wave International Company Ltd Image-based data management method and system
US20090249284A1 (en) * 2008-02-29 2009-10-01 Doyenz Incorporated Automation for virtualized it environments
US20090288082A1 (en) * 2008-05-19 2009-11-19 Novell, Inc. System and method for performing designated service image processing functions in a service image warehouse
US20090300607A1 (en) * 2008-05-29 2009-12-03 James Michael Ferris Systems and methods for identification and management of cloud-based virtual machines
US8176094B2 (en) * 2008-05-30 2012-05-08 Novell, Inc. System and method for efficiently building virtual appliances in a hosted environment
US20090300151A1 (en) * 2008-05-30 2009-12-03 Novell, Inc. System and method for managing a virtual appliance lifecycle
US20090300601A1 (en) * 2008-05-30 2009-12-03 Faus Norman L Methods and systems for providing a hosted appliance and migrating the appliance to an on-premise environment
US20100115098A1 (en) * 2008-11-04 2010-05-06 Novell, Inc. Dynamic and automatic colocation and combining of service providers and service clients in a grid of resources
US20100262794A1 (en) * 2009-04-14 2010-10-14 Novell, Inc. Data backup for virtual machines
US20100306772A1 (en) * 2009-06-01 2010-12-02 International Business Machines Corporation Virtual solution composition and deployment system and method
US20110041126A1 (en) * 2009-08-13 2011-02-17 Levy Roger P Managing workloads in a virtual computing environment
US20110047040A1 (en) * 2009-08-24 2011-02-24 Mark Carlson Alias identity and reputation validation engine
US20110083122A1 (en) * 2009-10-05 2011-04-07 Salesforce.Com, Inc. Method and system for massive large scale test infrastructure
US20110161952A1 (en) * 2009-12-31 2011-06-30 International Business Machines Corporation Porting Virtual Images Between Platforms
US20110173405A1 (en) * 2010-01-13 2011-07-14 International Business Machines Corporation System and method for reducing latency time with cloud services
US20110209064A1 (en) * 2010-02-24 2011-08-25 Novell, Inc. System and method for providing virtual desktop extensions on a client desktop
US20110213691A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for cloud-based brokerage exchange of software entitlements
US20110213687A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for or a usage manager for cross-cloud appliances
US20110214124A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for generating cross-cloud computing appliances
US20110271270A1 (en) * 2010-04-28 2011-11-03 Novell, Inc. System and method for upgrading kernels in cloud computing environments
US20110296001A1 (en) * 2010-05-28 2011-12-01 Ca, Inc. Privileged Activity Monitoring through Privileged User Password Management and Log Management Systems
US20120023222A1 (en) * 2010-07-22 2012-01-26 International Business Machines Corporation Moving deployment of images between computers
US20120054731A1 (en) * 2010-08-24 2012-03-01 International Business Machines Corporation Method, System and Computer Programs to Assist Migration to a Cloud Computing Environment
US20120066677A1 (en) * 2010-09-10 2012-03-15 International Business Machines Corporation On demand virtual machine image streaming
US20120072903A1 (en) * 2010-09-20 2012-03-22 International Business Machines Corporation Multi-image migration system and method
US20120084769A1 (en) * 2010-09-30 2012-04-05 International Business Machines Corporation Semantically rich composable software image bundles
US20120096149A1 (en) * 2010-10-13 2012-04-19 Sash Sunkara Cloud federation in a cloud computing environment

Cited By (309)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9658868B2 (en) 2008-06-19 2017-05-23 Csc Agility Platform, Inc. Cloud computing gateway, cloud computing hypervisor, and methods for implementing same
US9069599B2 (en) * 2008-06-19 2015-06-30 Servicemesh, Inc. System and method for a cloud computing abstraction layer with security zone facilities
US20160112453A1 (en) * 2008-06-19 2016-04-21 Servicemesh, Inc. System and method for a cloud computing abstraction layer with security zone facilities
US9489647B2 (en) 2008-06-19 2016-11-08 Csc Agility Platform, Inc. System and method for a cloud computing abstraction with self-service portal for publishing resources
US9973474B2 (en) 2008-06-19 2018-05-15 Csc Agility Platform, Inc. Cloud computing gateway, cloud computing hypervisor, and methods for implementing same
US20120185913A1 (en) * 2008-06-19 2012-07-19 Servicemesh, Inc. System and method for a cloud computing abstraction layer with security zone facilities
US20110199389A1 (en) * 2008-12-19 2011-08-18 Microsoft Corporation Interactive virtual display system for ubiquitous devices
US8594467B2 (en) * 2008-12-19 2013-11-26 Microsoft Corporation Interactive virtual display system for ubiquitous devices
US20120005724A1 (en) * 2009-02-09 2012-01-05 Imera Systems, Inc. Method and system for protecting private enterprise resources in a cloud computing environment
US8850026B2 (en) 2009-11-16 2014-09-30 At&T Intellectual Property I, L.P. Methods and apparatus to allocate resources associated with a distributive computing network
US8543916B2 (en) 2009-11-25 2013-09-24 Novell, Inc. System and method for recording collaborative information technology processes in an intelligent workload management system
US20110126047A1 (en) * 2009-11-25 2011-05-26 Novell, Inc. System and method for managing information technology models in an intelligent workload management system
US9191380B2 (en) 2009-11-25 2015-11-17 Novell, Inc. System and method for managing information technology models in an intelligent workload management system
US20110126099A1 (en) * 2009-11-25 2011-05-26 Novell, Inc. System and method for recording collaborative information technology processes in an intelligent workload management system
US9389980B2 (en) * 2009-11-30 2016-07-12 Red Hat, Inc. Detecting events in cloud computing environments and performing actions upon occurrence of the events
US10097438B2 (en) 2009-11-30 2018-10-09 Red Hat, Inc. Detecting events in cloud computing environments and performing actions upon occurrence of the events
US20110131316A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for detecting events in cloud computing environments and performing actions upon occurrence of the events
US20130007741A1 (en) * 2009-12-11 2013-01-03 Deutsche Telekom Ag Computer cluster and method for providing a disaster recovery functionality for a computer cluster
US8843624B2 (en) * 2009-12-11 2014-09-23 Deutsche Telekom Ag Computer cluster and method for providing a disaster recovery functionality for a computer cluster
US20130013766A1 (en) * 2009-12-11 2013-01-10 Deutsche Telekom Ag Computer cluster and method for providing a disaster recovery functionality for a computer cluster
US9135018B2 (en) * 2009-12-11 2015-09-15 Deutsche Telekom Ag Computer cluster and method for providing a disaster recovery functionality for a computer cluster
US9059933B2 (en) 2009-12-23 2015-06-16 Centurylink Intellectual Property Llc Provisioning virtual private data centers
US20110153684A1 (en) * 2009-12-23 2011-06-23 John Chi Yung Systems and methods for automatic provisioning of a user designed virtual private data center in a multi-tenant system
US9098320B2 (en) * 2009-12-23 2015-08-04 Savvis Inc. Systems and methods for automatic provisioning of a user designed virtual private data center in a multi-tenant system
US20110185014A1 (en) * 2010-01-28 2011-07-28 Hewlett-Packard Development Company, L.P. Modeling a cloud computing system
US8589475B2 (en) * 2010-01-28 2013-11-19 Hewlett-Packard Development Company, L.P. Modeling a cloud computing system
US8595334B2 (en) * 2010-02-22 2013-11-26 Microsoft Corporation Incrementally managing distributed configuration data
US9755890B2 (en) 2010-02-22 2017-09-05 Microsoft Technology Licensing, Llc Incrementally managing distributed configuration data
US20110208841A1 (en) * 2010-02-22 2011-08-25 Microsoft Corporation Incrementally managing distributed configuration data
US9658866B2 (en) 2010-02-24 2017-05-23 Micro Focus Software Inc. System and method for providing virtual desktop extensions on a client desktop
US8468455B2 (en) 2010-02-24 2013-06-18 Novell, Inc. System and method for providing virtual desktop extensions on a client desktop
US20110209064A1 (en) * 2010-02-24 2011-08-25 Novell, Inc. System and method for providing virtual desktop extensions on a client desktop
US20110213765A1 (en) * 2010-02-26 2011-09-01 Vmware, Inc. Comprehensive, Relevant, and Dynamic Data Searching in a Virtualization Environment
US9135342B2 (en) * 2010-02-26 2015-09-15 Vmware, Inc. Comprehensive, relevant, and dynamic data searching in a virtualization environment
US9091851B2 (en) 2010-02-28 2015-07-28 Microsoft Technology Licensing, Llc Light control in head mounted displays
US9182596B2 (en) 2010-02-28 2015-11-10 Microsoft Technology Licensing, Llc See-through near-eye display glasses with the optical assembly including absorptive polarizers or anti-reflective coatings to reduce stray light
US9129295B2 (en) 2010-02-28 2015-09-08 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a fast response photochromic film system for quick transition from dark to clear
US9341843B2 (en) 2010-02-28 2016-05-17 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a small scale image source
US9134534B2 (en) 2010-02-28 2015-09-15 Microsoft Technology Licensing, Llc See-through near-eye display glasses including a modular image source
US9097890B2 (en) 2010-02-28 2015-08-04 Microsoft Technology Licensing, Llc Grating in a light transmissive illumination system for see-through near-eye display glasses
US9097891B2 (en) 2010-02-28 2015-08-04 Microsoft Technology Licensing, Llc See-through near-eye display glasses including an auto-brightness control for the display brightness based on the brightness in the environment
US9759917B2 (en) 2010-02-28 2017-09-12 Microsoft Technology Licensing, Llc AR glasses with event and sensor triggered AR eyepiece interface to external devices
US9366862B2 (en) 2010-02-28 2016-06-14 Microsoft Technology Licensing, Llc System and method for delivering content to a group of see-through near eye display eyepieces
US8814691B2 (en) 2010-02-28 2014-08-26 Microsoft Corporation System and method for social networking gaming with an augmented reality
US20110221657A1 (en) * 2010-02-28 2011-09-15 Osterhout Group, Inc. Optical stabilization of displayed content with a variable lens
US9329689B2 (en) 2010-02-28 2016-05-03 Microsoft Technology Licensing, Llc Method and apparatus for biometric data capture
US9223134B2 (en) 2010-02-28 2015-12-29 Microsoft Technology Licensing, Llc Optical imperfections in a light transmissive illumination system for see-through near-eye display glasses
US9229227B2 (en) 2010-02-28 2016-01-05 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a light transmissive wedge shaped illumination system
US9875406B2 (en) 2010-02-28 2018-01-23 Microsoft Technology Licensing, Llc Adjustable extension for temple arm
US9285589B2 (en) 2010-02-28 2016-03-15 Microsoft Technology Licensing, Llc AR glasses with event and sensor triggered control of AR eyepiece applications
US8549125B2 (en) * 2010-03-11 2013-10-01 International Business Machines Corporation Environmentally sustainable computing in a distributed computer network
US20110225276A1 (en) * 2010-03-11 2011-09-15 International Business Machines Corporation Environmentally sustainable computing in a distributed computer network
US20110231846A1 (en) * 2010-03-19 2011-09-22 Jason Allen Sabin Techniques for managing service definitions in an intelligent workload management system
US9317407B2 (en) * 2010-03-19 2016-04-19 Novell, Inc. Techniques for validating services for deployment in an intelligent workload management system
US20110231822A1 (en) * 2010-03-19 2011-09-22 Jason Allen Sabin Techniques for validating services for deployment in an intelligent workload management system
US8504400B2 (en) * 2010-03-24 2013-08-06 International Business Machines Corporation Dynamically optimized distributed cloud computing-based business process management (BPM) system
US20110238458A1 (en) * 2010-03-24 2011-09-29 International Business Machines Corporation Dynamically optimized distributed cloud computing-based business process management (bpm) system
US20110238515A1 (en) * 2010-03-26 2011-09-29 Computer Associates Think, Inc. System and method for selecting services from multiple cloud vendors
US8548863B2 (en) * 2010-03-26 2013-10-01 Ca, Inc. System and method for selecting services from multiple cloud vendors
US8751857B2 (en) * 2010-04-13 2014-06-10 Red Hat Israel, Ltd. Monitoring of highly available virtual machines
US20110252271A1 (en) * 2010-04-13 2011-10-13 Red Hat Israel, Ltd. Monitoring of Highly Available Virtual Machines
US9760587B2 (en) * 2010-04-16 2017-09-12 F5 Networks, Inc. Tool for managing computer resources and infrastructures and networks
US20130091180A1 (en) * 2010-04-16 2013-04-11 Inria Institut National De Recherche En Informatiq Et En Automatique Tool for managing computer resources and infrastructures and networks
US9560079B1 (en) 2010-04-26 2017-01-31 Pivotal Software, Inc. Policy engine for cloud platform
US9942277B2 (en) 2010-04-26 2018-04-10 Pivotal Software, Inc. Policy engine for cloud platform
US8813065B2 (en) 2010-04-26 2014-08-19 Vmware, Inc. Microcloud platform delivery system
US9250887B2 (en) * 2010-04-26 2016-02-02 Pivotal Software, Inc. Cloud platform architecture
US9772831B2 (en) 2010-04-26 2017-09-26 Pivotal Software, Inc. Droplet execution engine for dynamic server application deployment
US20140130038A1 (en) * 2010-04-26 2014-05-08 Vmware, Inc. Cloud platform architecture
US9071522B2 (en) 2010-04-26 2015-06-30 Pivotal Software, Inc. Policy engine for cloud platform
US9448790B2 (en) 2010-04-26 2016-09-20 Pivotal Software, Inc. Rapid updating of cloud applications
US8627426B2 (en) 2010-04-26 2014-01-07 Vmware, Inc. Cloud platform architecture
US8505003B2 (en) 2010-04-28 2013-08-06 Novell, Inc. System and method for upgrading kernels in cloud computing environments
US9292275B2 (en) 2010-04-28 2016-03-22 Novell, Inc. System and method for upgrading kernels in cloud computing environments
US20110271146A1 (en) * 2010-04-30 2011-11-03 Mitre Corporation Anomaly Detecting for Database Systems
US8504876B2 (en) * 2010-04-30 2013-08-06 The Mitre Corporation Anomaly detection for database systems
US8719804B2 (en) * 2010-05-05 2014-05-06 Microsoft Corporation Managing runtime execution of applications on cloud computing systems
US20110276951A1 (en) * 2010-05-05 2011-11-10 Microsoft Corporation Managing runtime execution of applications on cloud computing systems
US8856300B2 (en) * 2010-05-18 2014-10-07 At&T Intellectual Property I, L.P. End-to-end secure cloud computing
US9392023B2 (en) 2010-05-18 2016-07-12 At&T Intellectual Property I, L.P. End-to-end secure cloud computing
US9774634B2 (en) 2010-05-18 2017-09-26 At&T Intellectual Property I, L.P. End-to-end secure cloud computing
US20110289134A1 (en) * 2010-05-18 2011-11-24 At&T Intellectual Property I, L.P. End-To-End Secure Cloud Computing
US10114678B2 (en) * 2010-05-28 2018-10-30 Micro Focus Software Inc. Techniques for managing service definitions in an intelligent workload management system
US20110302415A1 (en) * 2010-06-02 2011-12-08 Vmware, Inc. Securing customer virtual machines in a multi-tenant cloud
US8909928B2 (en) * 2010-06-02 2014-12-09 Vmware, Inc. Securing customer virtual machines in a multi-tenant cloud
US8898318B2 (en) * 2010-06-03 2014-11-25 Microsoft Corporation Distributed services authorization management
US20110302315A1 (en) * 2010-06-03 2011-12-08 Microsoft Corporation Distributed services authorization management
US9202239B2 (en) 2010-06-15 2015-12-01 Oracle International Corporation Billing usage in a virtual computing infrastructure
US9218616B2 (en) 2010-06-15 2015-12-22 Oracle International Corporation Granting access to a cloud computing environment using names in a virtual computing infrastructure
US9171323B2 (en) 2010-06-15 2015-10-27 Oracle International Corporation Organizing data in a virtual computing infrastructure
US9767494B2 (en) 2010-06-15 2017-09-19 Oracle International Corporation Organizing data in a virtual computing infrastructure
US8904382B2 (en) * 2010-06-17 2014-12-02 International Business Machines Corporation Creating instances of cloud computing environments
US20110314466A1 (en) * 2010-06-17 2011-12-22 International Business Machines Corporation Creating instances of cloud computing environments
US20110321117A1 (en) * 2010-06-23 2011-12-29 Itt Manufacturing Enterprises, Inc. Policy Creation Using Dynamic Access Controls
US8402127B2 (en) * 2010-06-28 2013-03-19 Bmc Software, Inc. System and method for offering virtual private clouds within a public cloud environment
US20110320598A1 (en) * 2010-06-28 2011-12-29 Bmc Software, Inc. System and Method for Offering Virtual Private Clouds within a Public Cloud Environment
US20140047442A1 (en) * 2010-06-30 2014-02-13 International Business Machines Corporation Hypervisor selection for hosting a virtual machine image
US8799477B2 (en) * 2010-06-30 2014-08-05 International Business Machines Corporation Hypervisor selection for hosting a virtual machine image
US8631067B2 (en) * 2010-07-01 2014-01-14 Red Hat, Inc. Architecture, system and method for providing a neutral application programming interface for accessing different cloud computing systems
US8639745B2 (en) 2010-07-01 2014-01-28 Red Hat, Inc. Providing a neutral interface to multiple cloud computing systems
US8725891B2 (en) 2010-07-01 2014-05-13 Red Hat, Inc. Aggregation across cloud providers
US8935397B2 (en) 2010-07-01 2015-01-13 Red Hat, Inc. Dividing cloud resources
US20120005262A1 (en) * 2010-07-01 2012-01-05 Mcwhirter Robert Kelley Architecture, system and method for providing a neutral application programming interface for accessing different cloud computing systems
US8639746B2 (en) 2010-07-01 2014-01-28 Red Hat, Inc. Architecture, system and method for mediating communications between a client computer system and a cloud computing system with a driver framework
US9270730B2 (en) 2010-07-01 2016-02-23 Red Hat, Inc. Providing an interface to multiple cloud computing systems
US8639747B2 (en) 2010-07-01 2014-01-28 Red Hat, Inc. System and method for providing a cloud computing graphical user interface
US20120047492A1 (en) * 2010-08-17 2012-02-23 International Business Machines Corporation Deployment of a tool for testing migrated applications
US9916147B2 (en) * 2010-08-17 2018-03-13 International Business Machines Corporation Deployment of a tool for testing migrated applications
US9471258B2 (en) * 2010-08-20 2016-10-18 International Business Machines Corporation Performance isolation for storage clouds
WO2012023050A2 (en) 2010-08-20 2012-02-23 Overtis Group Limited Secure cloud computing system and method
US8554917B2 (en) * 2010-08-20 2013-10-08 International Business Machines Corporation Performance isolation for storage clouds
US8886777B2 (en) * 2010-08-20 2014-11-11 Unisys Corporation Moving enterprise software applications to a cloud domain
US20140173015A1 (en) * 2010-08-20 2014-06-19 International Business Machines Corporation Performance isolation for storage clouds
US20120047265A1 (en) * 2010-08-20 2012-02-23 International Business Machines Corporation Performance isolation for storage clouds
US20130031158A1 (en) * 2010-08-20 2013-01-31 Salsburg Michael A Moving enterprise software applications to a cloud domain
US10013287B2 (en) 2010-08-24 2018-07-03 Micro Focus Software Inc. System and method for structuring self-provisioning workloads deployed in virtualized data centers
US20120054763A1 (en) * 2010-08-24 2012-03-01 Novell, Inc. System and method for structuring self-provisioning workloads deployed in virtualized data centers
US8327373B2 (en) * 2010-08-24 2012-12-04 Novell, Inc. System and method for structuring self-provisioning workloads deployed in virtualized data centers
US8549066B1 (en) * 2010-08-26 2013-10-01 Adobe Systems Incorporated Service provider interface for deploying and managing applications on a cloud
US9128281B2 (en) 2010-09-14 2015-09-08 Microsoft Technology Licensing, Llc Eyepiece with uniformly illuminated reflective display
US9774489B1 (en) * 2010-09-29 2017-09-26 Amazon Technologies, Inc. Allocating computing resources according to reserved capacity
US20120110185A1 (en) * 2010-10-29 2012-05-03 Cisco Technology, Inc. Distributed Hierarchical Rendering and Provisioning of Cloud Services
US8639793B2 (en) 2010-10-29 2014-01-28 Cisco Technology, Inc. Disaster recovery and automatic relocation of cloud services
US8667138B2 (en) * 2010-10-29 2014-03-04 Cisco Technology, Inc. Distributed hierarchical rendering and provisioning of cloud services
US20150186176A1 (en) * 2010-11-01 2015-07-02 Microsoft Corporation Dynamic allocation and assignment of virtual environment
US9710297B2 (en) * 2010-11-01 2017-07-18 Microsoft Technology Licensing, Llc Dynamic allocation and assignment of virtual environment
US20120131176A1 (en) * 2010-11-24 2012-05-24 James Michael Ferris Systems and methods for combinatorial optimization of multiple resources across a set of cloud-based networks
US8924539B2 (en) * 2010-11-24 2014-12-30 Red Hat, Inc. Combinatorial optimization of multiple resources across a set of cloud-based networks
US20120159482A1 (en) * 2010-12-17 2012-06-21 Bok Deuk Jeong Seamless application integration apparatus and method
US9557980B2 (en) * 2010-12-17 2017-01-31 Samsung Electronics Co., Ltd. Seamless application integration apparatus and method
US20120197624A1 (en) * 2011-01-28 2012-08-02 Vishwanath Hawargi System and method for managing a storage array using simulation
US9235447B2 (en) 2011-03-03 2016-01-12 Cisco Technology, Inc. Extensible attribute summarization
US20150326615A1 (en) * 2011-03-18 2015-11-12 Zscaler, Inc. Cloud based mobile device security and policy enforcement
US20120240108A1 (en) * 2011-03-18 2012-09-20 Airbus Operations (S.A.S.) Method and device for installing/uninstalling software modules, with centralized resolution of constraints, in aircraft apparatuses
US9609460B2 (en) * 2011-03-18 2017-03-28 Zscaler, Inc. Cloud based mobile device security and policy enforcement
US8910145B2 (en) * 2011-03-18 2014-12-09 Airbus Operations Sas Method and device for installing/uninstalling software modules, with centralized resolution of constraints, in aircraft equipment items
US20140020050A1 (en) * 2011-03-25 2014-01-16 Eads Deutschland Gmbh Method for Determining Integrity in an Evolutionary Collaborative Information System
US8997078B2 (en) 2011-04-12 2015-03-31 Pivotal Software, Inc. Release lifecycle management system for a multi-node application
US20120266158A1 (en) * 2011-04-12 2012-10-18 Vmware, Inc. Release management system for a multi-node application
US9569198B2 (en) 2011-04-12 2017-02-14 Pivotal Software, Inc. Release lifecycle management system for multi-node application
US9015710B2 (en) 2011-04-12 2015-04-21 Pivotal Software, Inc. Deployment system for multi-node applications
US9043767B2 (en) * 2011-04-12 2015-05-26 Pivotal Software, Inc. Release management system for a multi-node application
US8601583B1 (en) * 2011-04-14 2013-12-03 Trend Micro Incorporated Certification of virtual machine images in cloud computing environments
US8893279B1 (en) 2011-04-14 2014-11-18 Trend Micro Incorporated Certification of virtual machine images in cloud computing environments
US9304798B2 (en) 2011-06-07 2016-04-05 Hewlett Packard Enterprise Development Lp Scalable multi-tenant network architecture for virtualized datacenters
WO2012170016A1 (en) * 2011-06-07 2012-12-13 Hewlett-Packard Development Company, L.P. A scalable multi-tenant network architecture for virtualized datacenters
US8645546B2 (en) 2011-06-17 2014-02-04 Futurewei Technologies, Inc. Cloud service control and management architecture expanded to interface the network stratum
US20120324082A1 (en) * 2011-06-17 2012-12-20 Futurewei Technologies, Inc. Cloud Service Control and Management Architecture Expanded to Interface the Network Stratum
US8793380B2 (en) * 2011-06-17 2014-07-29 Futurewei Technologies, Inc. Cloud service control and management architecture expanded to interface the network stratum
US9948696B2 (en) 2011-06-17 2018-04-17 Futurewei Technologies, Inc. Cloud service control and management architecture expanded to interface the network stratum
US20150286838A1 (en) * 2011-06-27 2015-10-08 Google Inc. Persistent key access to a resources in a collection
US10043025B2 (en) * 2011-06-27 2018-08-07 Google Llc Persistent key access to a resources in a collection
US9251033B2 (en) 2011-07-07 2016-02-02 Vce Company, Llc Automatic monitoring and just-in-time resource provisioning system
US9710259B2 (en) 2011-07-13 2017-07-18 Vmware, Inc. System and method for customizing a deployment plan for a multi-tier application in a cloud infrastructure
WO2013016584A1 (en) * 2011-07-26 2013-01-31 Nebula, Inc. Systems and methods for implementing cloud computing
US8732693B2 (en) * 2011-08-04 2014-05-20 Microsoft Corporation Managing continuous software deployment
US8943220B2 (en) 2011-08-04 2015-01-27 Microsoft Corporation Continuous deployment of applications
US20130036328A1 (en) * 2011-08-04 2013-02-07 Microsoft Corporation Managing continuous software deployment
US9038055B2 (en) 2011-08-05 2015-05-19 Microsoft Technology Licensing, Llc Using virtual machines to manage software builds
US9152470B2 (en) * 2011-09-07 2015-10-06 Imagine Communications Corp. Systems and methods for computing applications
US9535669B2 (en) * 2011-09-07 2017-01-03 Imagine Communications Corp. Systems and methods for computing applications
US20140245261A1 (en) * 2011-09-07 2014-08-28 Digital Rapids Corporation Systems and methods for computing applications
US8856518B2 (en) 2011-09-07 2014-10-07 Microsoft Corporation Secure and efficient offloading of network policies to network interface cards
US20160048388A1 (en) * 2011-09-07 2016-02-18 Imagine Communications Corp. Systems and methods for computing applications
US9424439B2 (en) 2011-09-12 2016-08-23 Microsoft Technology Licensing, Llc Secure data synchronization
US20130067090A1 (en) * 2011-09-12 2013-03-14 Microsoft Corporation Coordination engine for cloud selection
US9781205B2 (en) * 2011-09-12 2017-10-03 Microsoft Technology Licensing, Llc Coordination engine for cloud selection
US20130074064A1 (en) * 2011-09-15 2013-03-21 Microsoft Corporation Automated infrastructure provisioning
US20130073715A1 (en) * 2011-09-16 2013-03-21 Tripwire, Inc. Methods and apparatus for remediating policy test failures, including correlating changes to remediation processes
US8819491B2 (en) 2011-09-16 2014-08-26 Tripwire, Inc. Methods and apparatus for remediation workflow
US8862941B2 (en) 2011-09-16 2014-10-14 Tripwire, Inc. Methods and apparatus for remediation execution
US20130074068A1 (en) * 2011-09-16 2013-03-21 International Business Machines Corporation Method, System, and Computer Program for Implementing a Customizable Virtual Appliance
US9026646B2 (en) * 2011-09-16 2015-05-05 Tripwire, Inc. Methods and apparatus for remediating policy test failures, including correlating changes to remediation processes
US9509554B1 (en) 2011-09-16 2016-11-29 Tripwire, Inc. Methods and apparatus for remediation execution
US9304850B1 (en) 2011-09-16 2016-04-05 Tripwire, Inc. Methods and apparatus for remediation workflow
US9426019B1 (en) * 2011-09-29 2016-08-23 Amazon Technologies, Inc. Resource pooling and subletting from user to another user
US9667515B1 (en) 2011-09-29 2017-05-30 Amazon Technologies, Inc. Service image notifications
US9946578B2 (en) * 2011-09-30 2018-04-17 International Business Machines Corporation Managing the persistent data of a pre-installed application in an elastic virtual machine instance
US20130086585A1 (en) * 2011-09-30 2013-04-04 International Business Machines Corporation Managing the Persistent Data of a Pre-Installed Application in an Elastic Virtual Machine Instance
US9141887B2 (en) 2011-10-31 2015-09-22 Hewlett-Packard Development Company, L.P. Rendering permissions for rendering content
US8943319B2 (en) 2011-11-04 2015-01-27 International Business Machines Corporation Managing security for computer services
US8924723B2 (en) 2011-11-04 2014-12-30 International Business Machines Corporation Managing security for computer services
US8918501B2 (en) 2011-11-10 2014-12-23 Microsoft Corporation Pattern-based computational health and configuration monitoring
US8832249B2 (en) 2011-11-30 2014-09-09 At&T Intellectual Property I, L.P. Methods and apparatus to adjust resource allocation in a distributive computing network
US9785791B2 (en) 2011-12-01 2017-10-10 International Business Machines Corporation Using a location authorization extension to provide access authorization for a module to access a computing system
US8990899B2 (en) 2011-12-01 2015-03-24 International Business Machines Corporation Using a local authorization extension to provide access authorization for a module to access a computing system
US9344435B2 (en) 2011-12-01 2016-05-17 International Business Machines Corporation Using a local authorization extension to provide access authorization for a module to access a computing system
US20130142201A1 (en) * 2011-12-02 2013-06-06 Microsoft Corporation Connecting on-premise networks with public clouds
WO2013085281A1 (en) * 2011-12-05 2013-06-13 인텔렉추얼디스커버리 주식회사 Method and device for security in clouding computing service
US20150012977A1 (en) * 2011-12-05 2015-01-08 Intellectual Discovery Co., Ltd. Method and apparatus for security in cloud computing service
US9087322B1 (en) * 2011-12-22 2015-07-21 Emc Corporation Adapting service provider products for multi-tenancy using tenant-specific service composition functions
US20130212553A1 (en) * 2012-01-19 2013-08-15 Syntel, Inc. System and method for modeling cloud rules for migration to the cloud
US9772830B2 (en) * 2012-01-19 2017-09-26 Syntel, Inc. System and method for modeling cloud rules for migration to the cloud
US8930542B2 (en) * 2012-01-23 2015-01-06 International Business Machines Corporation Dynamically building a set of compute nodes to host the user's workload
US8930543B2 (en) 2012-01-23 2015-01-06 International Business Machines Corporation Dynamically building a set of compute nodes to host the user's workload
US20130191527A1 (en) * 2012-01-23 2013-07-25 International Business Machines Corporation Dynamically building a set of compute nodes to host the user's workload
WO2013112833A3 (en) * 2012-01-26 2014-11-13 Computenext Inc. Federating computing resources across the web
US9489243B2 (en) 2012-01-26 2016-11-08 Computenext Inc. Federating computing resources across the web
US8909734B2 (en) 2012-02-07 2014-12-09 International Business Machines Corporation Migrating data between networked computing environments
US20130227710A1 (en) * 2012-02-27 2013-08-29 Computer Associates Think, Inc. System and method for securing leased images in a cloud environment
US9052961B2 (en) 2012-03-02 2015-06-09 Vmware, Inc. System to generate a deployment plan for a cloud infrastructure according to logical, multi-tier application blueprint
US9170798B2 (en) 2012-03-02 2015-10-27 Vmware, Inc. System and method for customizing a deployment plan for a multi-tier application in a cloud infrastructure
US10095496B2 (en) 2012-03-02 2018-10-09 Vmware, Inc. Single, logical, multi-tier application blueprint used for deployment and management of multiple physical applications in a cloud infrastructure
US9047133B2 (en) 2012-03-02 2015-06-02 Vmware, Inc. Single, logical, multi-tier application blueprint used for deployment and management of multiple physical applications in a cloud environment
US10031783B2 (en) 2012-03-02 2018-07-24 Vmware, Inc. Execution of a distributed deployment plan for a multi-tier application in a cloud infrastructure
US9645858B2 (en) 2012-03-02 2017-05-09 Vmware, Inc. Single, logical, multi-tier application blueprint used for deployment and management of multiple physical applications in a cloud infrastructure
US9678774B2 (en) 2012-03-08 2017-06-13 Empire Technology Development Llc Secure migration of virtual machines
US9054917B2 (en) 2012-03-08 2015-06-09 Empire Technology Development Llc Secure migration of virtual machines
US9021294B2 (en) 2012-03-16 2015-04-28 Sungard Availability Services Lp Discovering boot order sequence of servers belonging to an application
US9430295B1 (en) * 2012-03-29 2016-08-30 Infoblox Inc. Internet protocol address management (IPAM) integration with a plurality of virtualization tiers in the virtual cloud
US8849757B2 (en) * 2012-03-29 2014-09-30 Empire Technology Development Llc Determining user key-value storage needs from example queries
US9336217B2 (en) 2012-03-29 2016-05-10 Empire Technology Development Llc Determining user key-value storage needs from example queries
US20130262382A1 (en) * 2012-03-29 2013-10-03 Empire Technology Development, Llc Determining user key-value storage needs from example queries
US8751620B2 (en) 2012-03-30 2014-06-10 International Business Machines Corporation Validating deployment patterns in a networked computing environment
US9286571B2 (en) 2012-04-01 2016-03-15 Empire Technology Development Llc Machine learning for database migration source
US20130282906A1 (en) * 2012-04-18 2013-10-24 International Business Machines Corporation Multi-user analytical system and corresponding device and method
US9462080B2 (en) * 2012-04-27 2016-10-04 Hewlett-Packard Development Company, L.P. Management service to manage a file
US20130290477A1 (en) * 2012-04-27 2013-10-31 Philippe Lesage Management service to manage a file
US20130290511A1 (en) * 2012-04-27 2013-10-31 Susan Chuzhi Tu Managing a sustainable cloud computing service
US8862727B2 (en) 2012-05-14 2014-10-14 International Business Machines Corporation Problem determination and diagnosis in shared dynamic clouds
US8838968B2 (en) 2012-05-14 2014-09-16 Ca, Inc. System and method for virtual machine data protection in a public cloud
US8862728B2 (en) 2012-05-14 2014-10-14 International Business Machines Corporation Problem determination and diagnosis in shared dynamic clouds
US9052963B2 (en) 2012-05-21 2015-06-09 International Business Machines Corporation Cloud computing data center machine monitor and control
US9256648B2 (en) 2012-05-22 2016-02-09 International Business Machines Corporation Data handling in a cloud computing environment
US20130326496A1 (en) * 2012-05-29 2013-12-05 International Business Machines Corporation Generating Super Templates to Obtain User-Requested Templates
US9135045B2 (en) * 2012-05-29 2015-09-15 International Business Machines Corporation Generating user-requested virtual machine templates from super virtual machine templates and cacheable patches
US9128744B2 (en) * 2012-05-29 2015-09-08 International Business Machines Corporation Generating user-requested virtual machine templates from super virtual machine templates and cacheable patches
US20130326503A1 (en) * 2012-05-29 2013-12-05 International Business Machines Corporation Generating Super Templates to Obtain User-Requested Templates
US8782632B1 (en) * 2012-06-18 2014-07-15 Tellabs Operations, Inc. Methods and apparatus for performing in-service software upgrade for a network device using system virtualization
US9348652B2 (en) 2012-07-02 2016-05-24 Vmware, Inc. Multi-tenant-cloud-aggregation and application-support system
US9116753B2 (en) 2012-07-08 2015-08-25 Dell Products L.P. System and method for dynamic scaling based on a reference architecture
US8972941B2 (en) * 2012-07-18 2015-03-03 International Business Machines Corporation Integrated development environment-based workload testing in a networked computing environment
US9513950B2 (en) 2012-07-25 2016-12-06 Vmware, Inc. Dynamic resource configuration based on context
US9003037B2 (en) * 2012-07-25 2015-04-07 Vmware, Inc. Dynamic allocation of physical computing resources amongst virtual machines
US9891953B2 (en) 2012-07-25 2018-02-13 Vmware, Inc. Dynamic resource configuration based on context
US20140032761A1 (en) * 2012-07-25 2014-01-30 Vmware, Inc. Dynamic allocation of physical computing resources amongst virtual machines
US8954579B2 (en) 2012-08-21 2015-02-10 Microsoft Corporation Transaction-level health monitoring of online services
CN102880832A (en) * 2012-08-28 2013-01-16 曙光信息产业(北京)有限公司 Method for implementing mass data management system under colony
US8769701B2 (en) * 2012-09-05 2014-07-01 International Business Machines Corporation Single tenant audit view in a multi-tenant environment
US20150172136A1 (en) * 2012-09-07 2015-06-18 Transoft (Shanghai), Inc. Apparatus of mapping logical point-of-delivery to physical point-of-delivery based on telecommunication information networking
US8943606B2 (en) 2012-09-14 2015-01-27 Rightscale, Inc. Systems and methods for associating a virtual machine with an access control right
US8438654B1 (en) 2012-09-14 2013-05-07 Rightscale, Inc. Systems and methods for associating a virtual machine with an access control right
US20140085167A1 (en) * 2012-09-26 2014-03-27 Tencent Technology (Shenzhen) Company Limited Systems and methods for sharing image data
US9639318B2 (en) * 2012-09-26 2017-05-02 Tencent Technology (Shenzhen) Company Limited Systems and methods for sharing image data
US20150263902A1 (en) * 2012-09-27 2015-09-17 Orange Device and a method for managing access to a pool of computer and network resources made available to an entity by a cloud computing system
US9736029B2 (en) * 2012-09-27 2017-08-15 Orange Device and a method for managing access to a pool of computer and network resources made available to an entity by a cloud computing system
US9396006B2 (en) 2012-10-01 2016-07-19 International Business Machines Corporation Distributing and verifying authenticity of virtual macahine images and virtual machine image reposiroty using digital signature based on signing policy
US9009705B2 (en) 2012-10-01 2015-04-14 International Business Machines Corporation Authenticated distribution of virtual machine images
US9389898B2 (en) 2012-10-02 2016-07-12 Ca, Inc. System and method for enforcement of security controls on virtual machines throughout life cycle state changes
US9218405B2 (en) * 2012-10-10 2015-12-22 Apple Inc. Batch processing and data synchronization in cloud-based systems
US20140149540A1 (en) * 2012-11-23 2014-05-29 Oracle International Corporation Decentralized administration of access to target systems in identity management
WO2014093715A1 (en) 2012-12-12 2014-06-19 Microsoft Corporation Workload deployment with infrastructure management agent provisioning
US9712375B2 (en) 2012-12-12 2017-07-18 Microsoft Technology Licensing, Llc Workload deployment with infrastructure management agent provisioning
US9130926B2 (en) * 2012-12-27 2015-09-08 Microsoft Technology Licensing, Llc Authorization messaging with integral delegation data
US20140189797A1 (en) * 2012-12-27 2014-07-03 Microsoft Corporation Authorization messaging with integral delegation data
US9122510B2 (en) 2013-01-02 2015-09-01 International Business Machines Corporation Querying and managing computing resources in a networked computing environment
US8996932B2 (en) 2013-01-09 2015-03-31 Microsoft Technology Licensing, Llc Cloud management using a component health model
US20140229898A1 (en) * 2013-02-08 2014-08-14 cloudRIA, Inc. Browser-based application management
US20150304455A1 (en) * 2013-03-06 2015-10-22 Vmware, Inc. Method and system for providing a roaming remote desktop
WO2014142782A1 (en) * 2013-03-11 2014-09-18 Intel Corporation Device synchronization policy management
US9208006B2 (en) 2013-03-11 2015-12-08 Sungard Availability Services, Lp Recovery Maturity Model (RMM) for readiness-based control of disaster recovery testing
US20140282491A1 (en) * 2013-03-12 2014-09-18 Airbus Operations (Sas) Method, device and computer program for the automatic installation or uninstallation of software modules on equipment on board an aircraft
US9471295B2 (en) * 2013-03-12 2016-10-18 Airbus Operations Sas Method, device and computer program for the automatic installation or uninstallation of software modules on equipment on board an aircraft
US9553787B1 (en) 2013-04-29 2017-01-24 Amazon Technologies, Inc. Monitoring hosted service usage
US9479396B2 (en) 2013-05-31 2016-10-25 Sungard Availability Services, Lp XML based generic UNIX discovery framework
US9632802B2 (en) 2013-06-14 2017-04-25 Sap Se Automatic configuration of mobile programs
US9619545B2 (en) 2013-06-28 2017-04-11 Oracle International Corporation Naïve, client-side sharding with online addition of shards
US9990189B2 (en) * 2013-07-03 2018-06-05 International Business Machines Corporation Method to optimize provisioning time with dynamically generated virtual disk contents
US20150012487A1 (en) * 2013-07-03 2015-01-08 International Business Machines Corporation Method to optimize provisioning time with dynamically generated virtual disk contents
US9983863B2 (en) 2013-07-03 2018-05-29 International Business Machines Corporation Method to optimize provisioning time with dynamically generated virtual disk contents
US9710292B2 (en) 2013-08-02 2017-07-18 International Business Machines Corporation Allowing management of a virtual machine by multiple cloud providers
US20170134246A1 (en) * 2013-08-21 2017-05-11 International Business Machines Corporation Using discovered virtual-infrastructure attributes to automatically generate a service-catalog entry
US9992080B2 (en) * 2013-08-21 2018-06-05 International Business Machines Corporation Using discovered virtual-infrastructure attributes to automatically generate a service-catalog entry
US20150095482A1 (en) * 2013-09-29 2015-04-02 International Business Machines Corporation Method and System for Deploying Service in a Cloud Computing System
US9465957B2 (en) 2013-11-07 2016-10-11 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Preventing predetermined type of configuration changes to computing devices in a computing system servicing a critical job
US20150134424A1 (en) * 2013-11-14 2015-05-14 Vmware, Inc. Systems and methods for assessing hybridization of cloud computing services based on data mining of historical decisions
US9485145B1 (en) * 2013-11-25 2016-11-01 Vce Company, Llc System, method, apparatus, and computer program product for determining a configuration of a converged infrastructure
US9753784B2 (en) 2013-11-27 2017-09-05 At&T Intellectual Property I, L.P. Cloud delivery platform
US20150149756A1 (en) * 2013-11-28 2015-05-28 Inventec (Pudong) Technology Corporation System and method for setting up a bootable storage device using image
US9519513B2 (en) * 2013-12-03 2016-12-13 Vmware, Inc. Methods and apparatus to automatically configure monitoring of a virtual machine
US20150154039A1 (en) * 2013-12-03 2015-06-04 Vmware, Inc. Methods and apparatus to automatically configure monitoring of a virtual machine
US20150169876A1 (en) * 2013-12-13 2015-06-18 International Business Machines Corporation Running local virtual disks containing applications with limited licenses
US20150170302A1 (en) * 2013-12-13 2015-06-18 International Business Machines Corporation Running local virtual disks containing applications with limited licenses
US20160266892A1 (en) * 2013-12-18 2016-09-15 Hewlett Packard Enterprise Development Lp Patching of virtual machines during data recovery
US9444735B2 (en) 2014-02-27 2016-09-13 Cisco Technology, Inc. Contextual summarization tag and type match using network subnetting
US9729623B2 (en) 2014-03-15 2017-08-08 International Business Machines Corporation Specification-guided migration
US20150261842A1 (en) * 2014-03-15 2015-09-17 International Business Machines Corporation Conformance specification and checking for hosting services
US9838260B1 (en) 2014-03-25 2017-12-05 Amazon Technologies, Inc. Event-based data path detection
US9858060B2 (en) 2014-05-09 2018-01-02 International Business Machines Corporation Automated deployment of a private modular cloud-computing environment
US9781051B2 (en) * 2014-05-27 2017-10-03 International Business Machines Corporation Managing information technology resources using metadata tags
US20150350035A1 (en) * 2014-05-27 2015-12-03 International Business Machines Corporation Managing information technology resources using metadata tags
US20150350103A1 (en) * 2014-05-27 2015-12-03 International Business Machines Corporation Managing information technology resources using metadata tags
US9787598B2 (en) * 2014-05-27 2017-10-10 International Business Machines Corporation Managing information technology resources using metadata tags
US20160034294A1 (en) * 2014-07-29 2016-02-04 International Business Machines Corporation Dynamically deployed virtual machine
US9311130B2 (en) * 2014-07-29 2016-04-12 International Business Machines Corporation Dynamically deployed virtual machine
US9851994B2 (en) * 2014-07-29 2017-12-26 International Business Machines Corporation Dynamically deployed virtual machine
US9130844B1 (en) 2014-11-11 2015-09-08 Citigroup Technology, Inc. Systems and methods for harvesting excess compute capacity across domains
US20160147554A1 (en) * 2014-11-25 2016-05-26 Red Hat, Inc. Hot-swapping storage pool backend functional modules
US9524200B2 (en) 2015-03-31 2016-12-20 At&T Intellectual Property I, L.P. Consultation among feedback instances
US9769206B2 (en) 2015-03-31 2017-09-19 At&T Intellectual Property I, L.P. Modes of policy participation for feedback instances
US9992277B2 (en) 2015-03-31 2018-06-05 At&T Intellectual Property I, L.P. Ephemeral feedback instances
US9785461B2 (en) 2015-05-14 2017-10-10 International Business Machines Corporation Performing server migration and dependent server discovery in parallel
US9804879B2 (en) 2015-05-14 2017-10-31 International Business Machines Corporation Performing server migration and dependent server discovery in parallel
US10075304B2 (en) 2015-10-30 2018-09-11 Microsoft Technology Licensing, Llc Multiple gateway operation on single operating system
US20170171029A1 (en) * 2015-12-15 2017-06-15 Microsoft Technology Licensing, Llc End-to-end automated servicing model for cloud computing platforms
US20170323105A1 (en) * 2016-04-25 2017-11-09 Cloudminds (Shenzhen) Robotics Systems Co., Ltd. Virtual machine creation method and apparatus
US10095870B2 (en) * 2016-04-25 2018-10-09 Cloudminds (Shenzhen) Robotics Systems Co., Ltd. Virtual machine creation method and apparatus
US10073906B2 (en) 2016-04-27 2018-09-11 Oracle International Corporation Scalable tri-point arbitration and clustering
WO2017190058A1 (en) * 2016-04-28 2017-11-02 Snowflake Computing Inc. Multi-cluster warehouse

Also Published As

Publication number Publication date Type
US9191380B2 (en) 2015-11-17 grant
US20110125894A1 (en) 2011-05-26 application
US9210141B2 (en) 2015-12-08 grant
US9432350B2 (en) 2016-08-30 grant
US8745205B2 (en) 2014-06-03 grant
US8448170B2 (en) 2013-05-21 grant
US20140237550A1 (en) 2014-08-21 application
US20130254768A1 (en) 2013-09-26 application
US20110125895A1 (en) 2011-05-26 application
US20110126047A1 (en) 2011-05-26 application
US20110126207A1 (en) 2011-05-26 application
US20110126099A1 (en) 2011-05-26 application
US10104053B2 (en) 2018-10-16 grant
US20110126275A1 (en) 2011-05-26 application
US8543916B2 (en) 2013-09-24 grant
US8695075B2 (en) 2014-04-08 grant

Similar Documents

Publication Publication Date Title
Jacob et al. Introduction to grid computing
Kazman et al. The metropolis model a new logic for development of crowdsourced systems
Varia Architecting for the cloud: Best practices
US20090077621A1 (en) Method and system for managing security policies
US20140075565A1 (en) Multi-tenancy identity management system
US20120185913A1 (en) System and method for a cloud computing abstraction layer with security zone facilities
US20120102480A1 (en) High availability of machines during patching
US20090150981A1 (en) Managing user access entitlements to information technology resources
US20130232497A1 (en) Execution of a distributed deployment plan for a multi-tier application in a cloud infrastructure
US20080184336A1 (en) Policy resolution in an entitlement management system
US20140280961A1 (en) System and method for a cloud computing abstraction with multi-tier deployment policy
US20130232480A1 (en) Single, logical, multi-tier application blueprint used for deployment and management of multiple physical applications in a cloud environment
US20070294364A1 (en) Management of composite software services
US20100198730A1 (en) System and method for securing tenant data on a local appliance prior to delivery to a SaaS data center hosted application service
US20130346946A1 (en) System for hosted, shared, source control build
US20040103323A1 (en) Generic security infrastructure for COM based systems
US8321921B1 (en) Method and apparatus for providing authentication and encryption services by a software as a service platform
US20130291052A1 (en) Trusted public infrastructure grid cloud
US8468455B2 (en) System and method for providing virtual desktop extensions on a client desktop
US20140075031A1 (en) Separation of pod provisioning and service provisioning
US8015563B2 (en) Managing virtual machines with system-wide policies
US8291490B1 (en) Tenant life cycle management for a software as a service platform
US20100251339A1 (en) Managing Security Groups for Data Instances
US20100125612A1 (en) Multi-tenancy using suite of authorization manager components
US20150074743A1 (en) Extensible multi-tenant cloud-management system and methods for extending functionalities and services provided by a multi-tenant cloud-managment system

Legal Events

Date Code Title Description
AS Assignment

Owner name: NOVELL, INC., UTAH

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:LARSEN, KAL A.;CARTER, STEPHEN R.;JORGENSEN, MICHAEL;AND OTHERS;REEL/FRAME:023690/0290

Effective date: 20091218

AS Assignment

Owner name: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, NEW YORK

Free format text: GRANT OF PATENT SECURITY INTEREST;ASSIGNOR:NOVELL, INC.;REEL/FRAME:026270/0001

Effective date: 20110427

AS Assignment

Owner name: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, NEW YORK

Free format text: GRANT OF PATENT SECURITY INTEREST (SECOND LIEN);ASSIGNOR:NOVELL, INC.;REEL/FRAME:026275/0018

Effective date: 20110427

AS Assignment

Owner name: NOVELL, INC., UTAH

Free format text: RELEASE OF SECURITY IN PATENTS SECOND LIEN (RELEASES RF 026275/0018 AND 027290/0983);ASSIGNOR:CREDIT SUISSE AG, AS COLLATERAL AGENT;REEL/FRAME:028252/0154

Effective date: 20120522

Owner name: NOVELL, INC., UTAH

Free format text: RELEASE OF SECURITY INTEREST IN PATENTS FIRST LIEN (RELEASES RF 026270/0001 AND 027289/0727);ASSIGNOR:CREDIT SUISSE AG, AS COLLATERAL AGENT;REEL/FRAME:028252/0077

Effective date: 20120522

AS Assignment

Owner name: CREDIT SUISSE AG, AS COLLATERAL AGENT, NEW YORK

Free format text: GRANT OF PATENT SECURITY INTEREST SECOND LIEN;ASSIGNOR:NOVELL, INC.;REEL/FRAME:028252/0316

Effective date: 20120522

Owner name: CREDIT SUISSE AG, AS COLLATERAL AGENT, NEW YORK

Free format text: GRANT OF PATENT SECURITY INTEREST FIRST LIEN;ASSIGNOR:NOVELL, INC.;REEL/FRAME:028252/0216

Effective date: 20120522

AS Assignment

Owner name: NOVELL, INC., UTAH

Free format text: RELEASE OF SECURITY INTEREST RECORDED AT REEL/FRAME 028252/0316;ASSIGNOR:CREDIT SUISSE AG;REEL/FRAME:034469/0057

Effective date: 20141120

Owner name: NOVELL, INC., UTAH

Free format text: RELEASE OF SECURITY INTEREST RECORDED AT REEL/FRAME 028252/0216;ASSIGNOR:CREDIT SUISSE AG;REEL/FRAME:034470/0680

Effective date: 20141120

AS Assignment

Owner name: BANK OF AMERICA, N.A., CALIFORNIA

Free format text: SECURITY INTEREST;ASSIGNORS:MICRO FOCUS (US), INC.;BORLAND SOFTWARE CORPORATION;ATTACHMATE CORPORATION;AND OTHERS;REEL/FRAME:035656/0251

Effective date: 20141120

AS Assignment

Owner name: MICRO FOCUS SOFTWARE INC., DELAWARE

Free format text: CHANGE OF NAME;ASSIGNOR:NOVELL, INC.;REEL/FRAME:040020/0703

Effective date: 20160718

AS Assignment

Owner name: JPMORGAN CHASE BANK, N.A., AS SUCCESSOR AGENT, NEW

Free format text: NOTICE OF SUCCESSION OF AGENCY;ASSIGNOR:BANK OF AMERICA, N.A., AS PRIOR AGENT;REEL/FRAME:042388/0386

Effective date: 20170501