US20100220622A1 - Adaptive network with automatic scaling - Google Patents

Adaptive network with automatic scaling Download PDF

Info

Publication number
US20100220622A1
US20100220622A1 US12714480 US71448010A US20100220622A1 US 20100220622 A1 US20100220622 A1 US 20100220622A1 US 12714480 US12714480 US 12714480 US 71448010 A US71448010 A US 71448010A US 20100220622 A1 US20100220622 A1 US 20100220622A1
Authority
US
Grant status
Application
Patent type
Prior art keywords
network
traffic processing
capacity
traffic
processing units
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
US12714480
Inventor
Coach Wei
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.)
YOTTAA Inc
Original Assignee
YOTTAA 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
    • H04L41/00Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/08Configuration management of network or network elements
    • H04L41/0896Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities, e.g. bandwidth on demand
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic regulation in packet switching networks
    • H04L47/70Admission control or resource allocation
    • H04L47/78Resource allocation architecture
    • H04L47/781Centralized allocation of resource
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic regulation in packet switching networks
    • H04L47/70Admission control or resource allocation
    • H04L47/82Miscellaneous aspects
    • H04L47/822Collecting or measuring resource availability data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/14Arrangements for maintenance or administration or management of packet switching networks involving network analysis or design, e.g. simulation, network model or planning
    • H04L41/145Arrangements for maintenance or administration or management of packet switching networks involving network analysis or design, e.g. simulation, network model or planning involving simulating, designing, planning or modelling of a network

Abstract

A method for automatic scaling the processing capacity and bandwidth capacity of a network includes providing a network comprising a plurality of traffic processing units and a plurality of network links. Next, providing monitoring means for monitoring processing capacity demand and bandwidth capacity demand of the network. Next, providing managing means for adding traffic processing units to the network, removing traffic processing units from the network, connecting links to the network and disconnecting links from the network. Next, monitoring processing capacity demand and bandwidth capacity demand of the network via the monitoring means and then dynamically adjusting processing capacity of the network by selectively adding or removing traffic processing units in the network via the managing means upon observation of processing capacity demand increase or processing capacity demand decrease, respectively. The method also includes dynamically adjusting bandwidth capacity of the network by selectively connecting or disconnecting links in the network via the managing means upon observation of bandwidth capacity demand increase or bandwidth capacity decrease, respectively.

Description

    CROSS REFERENCE TO RELATED CO-PENDING APPLICATIONS
  • This application claims the benefit of U.S. provisional application Ser. No. 61/156,069 filed on Feb. 27, 2009 and entitled METHOD AND SYSTEM FOR COMPUTER CLOUD MANAGEMENT, which is commonly assigned and the contents of which are expressly incorporated herein by reference.
  • This application claims the benefit of U.S. provisional application Ser. No. 61/165,250 filed on Mar. 31, 2009 and entitled CLOUD ROUTING NETWORK FOR BETTER INTERNET PERFORMANCE, RELIABILITY AND SECURITY, which is commonly assigned and the contents of which are expressly incorporated herein by reference.
  • FIELD OF THE INVENTION
  • The present invention relates to network design and management and in particular to a system and a method for an adaptive network with automatic capacity scaling in response to load demand changes.
  • BACKGROUND OF THE INVENTION
  • Networking changed the information technology industry by enabling different computing systems to communicate, collaborate and interact. There are many types of networks. The Internet is probably the biggest network on earth. It connects millions of computers all over the world. Wide Area Networks (WAN) are networks that are typically used to connect the computer systems of a corporation located in different geographies. Local Area Networks (LAN) are networks that typically provide connectivity in an office environment.
  • The purpose of a network is to enable communications between the systems that are connected to the network by delivering information from the source of the information to its destination. In such a mission, the network itself needs to have sufficient processing capacity and bandwidth capacity in order to perform traffic delivery and various processing tasks including figuring out an appropriate route for the traffic to travel through, handling of errors and accidents and ensuring the necessary security measures, among others.
  • A typical network includes two types of components: traffic processing components and connectivity components. Traffic processing components include the various types of networking devices such as router, switch and hub, among others. The connectivity components are typically called “links” that interconnect two processing components or end points. There are many ways to classify network links. Physical network links include those via Ethernet cable, wireless connectivity, satellite connectivity, optic fiber connections, dial-up phone line and so on. Virtual network links refer to logic links formed between two entities and may include many physical links as well as various processing components along the way. The combination of the processing capacity of the traffic processing components of a network determines the network's processing capacity. The bandwidth capacity of the various links together ultimately determines the bandwidth capacity of a network.
  • FIG. 1 shows a typical network 90 with many traffic processing components 105, 115, 125, 135 labeled as “router” as well as many links 101, 111, 121,131, 141, 151. Through this network 90, traffic is sent from source 100 to destination 150. When designing and managing a network, it is crucial to provision sufficient capacity. When there is not enough capacity, problems ranging from slowness, congestion, to packet loss and malfunctioning would occur.
  • In the prior art, network design and management are based on a fixed amount of capacity provisioned beforehand. One would acquire all the necessary hardware and software components, configure them, and then build connectivity between them. This fixed infrastructure provides a fixed amount of capacity. The problems of such approaches include high acquisition cost and over-provisioning or under-provisioning of capacity. Acquiring all the traffic processing components and setting up the links upfront can be very expensive for a large-scale network. The cost to build a large-scale network can range from millions of dollars to even higher. An example is the Internet itself, which costs billions of dollars to build and we are still investing millions of dollars to improve its capacity. An important aspect of the network is the fact that network traffic demand varies. Peak demands can be a few hundred percent or even higher than the average demand. In order to meet the needs of peak demand, the capacity of the network has to be over-provisioned. For example, a rule of thumb in designing a network is to provision 3-5 times the capacity of its normal demand. Such over-provisioning is necessary in order for the network to function properly and to meet its service agreements. However, normal bandwidth demand and processing demand are significantly lower than peak demands. It is not unusual to see a typical network's utilization rate to be only at 20%. Thus a significant portion of capacity is wasted. For large-scale networks, such waste is significant and ranges from thousands of dollars to millions of dollars or even higher. Further, such over-provisioning creates a significant carbon footprint. Today's telecommunication networks are responsible for 1% to 5% of global carbon footprint, and this percentage has been rising rapidly due to the rapid growth and adoption of information technology. FIG. 1A shows the discrepancy for typical networks between the provisioned capacity and actual capacity demand. Because prior art networks are based on fixed capacity, service suffers when capacity demand overwhelms the fixed capacity and waste occurs when demand is below the provisioned capacity.
  • Thus there is an unfulfilled need for new approaches to build and manage a network that can eliminate the expensive upfront costs, reduce capacity waste, and improving utilization efficiency.
  • SUMMARY OF THE INVENTION
  • In general, in one aspect, the invention features a method for automatic scaling the processing capacity and bandwidth capacity of a network. The method includes providing a network comprising a plurality of traffic processing units and a plurality of network links. Next, providing monitoring means for monitoring processing capacity demand and bandwidth capacity demand of the network. Next, providing managing means for adding traffic processing units to the network, removing traffic processing units from the network, connecting links to the network and disconnecting links from the network. Next, monitoring processing capacity demand and bandwidth capacity demand of the network via the monitoring means and then dynamically adjusting processing capacity of the network by selectively adding or removing traffic processing units in the network via the managing means upon observation of processing capacity demand increase or processing capacity demand decrease, respectively. The method also includes dynamically adjusting bandwidth capacity of the network by selectively connecting or disconnecting links in the network via the managing means upon observation of bandwidth capacity demand increase or bandwidth capacity decrease, respectively.
  • Implementations of this aspect of the invention may include one or more of the following. The traffic processing units include specially designed traffic processing hardware, such as router, switch, and hub, among others. The traffic processing units also include general purpose computers running specially designed traffic processing software. The traffic processing units utilize virtual machines and physical machines. The virtual machines are based on virtualization technology including VMWare, Xen and Microsoft Virutalization. The virtual machines are virtual computing instances provided by commercial cloud computing providers. The cloud computing providers include Amazon.com's EC2, RackSpace, SoftLayer, AT&T, GoGrid, Verizon, Fijitsu, Voxel, Google, Microsoft, FlexiScale, among others. The network is an overlay network superimposed over an underlying network. The network links are virtual network links of the underlying network. The underlying network may be the Internet, WAN, Wireless Network or a private network. The traffic processing units are distributed at different geographic locations. The traffic processing units are added or removed via an Application Programming Interface (API).
  • In general, in another aspect, the invention features a system for automatic scaling of the processing capacity and bandwidth capacity of a network. The system includes a network comprising a plurality of traffic processing units and a plurality of network links, monitoring means for monitoring processing capacity demand and bandwidth capacity demand of the network and managing means for adding traffic processing units to the network, removing traffic processing units from the network, connecting links to the network and disconnecting links from the network. The monitoring means monitor processing capacity demand and bandwidth capacity demand of the network and provide processing capacity demand information and bandwidth capacity demand information to the managing means. The managing means dynamically adjust the processing capacity of the network by selectively adding or removing traffic processing units in the network upon receiving information of processing capacity demand increase or processing capacity demand decrease, respectively. The managing means also dynamically adjust bandwidth capacity of the network by selectively connecting or disconnecting links in the network upon receiving information of bandwidth capacity demand increase or bandwidth capacity decrease, respectively.
  • Among the advantages of the invention may be one or more of the following. The network system is adaptive so that it always “provision” optimal capacity in response to the demand, eliminating capacity waste without sacrificing service quality, as shown in FIG. 2A. The network system is horizontally scalable. Its capacity increases linearly by just adding more traffic processing nodes to the system. It is also fault-tolerant. Failure of individual components within the system does not cause system failure. In fact, the system assumes component failures as common occurrences and is able to run on commodity hardware to deliver high performance and high availability services.
  • The details of one or more embodiments of the invention are set forth in the accompanying drawings and description below. Other features, objects and advantages of the invention will be apparent from the following description of the preferred embodiments, the drawings and from the claims.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 shows the current Internet routing (prior art);
  • FIG. 1A is a graph of the network capacity demand versus time in a prior art network with fixed capacity;
  • FIG. 2 shows a cloud routing network of the present invention;
  • FIG. 2A shows the global locations of a geographically distributed network;
  • FIG. 2B a graph of the network capacity demand versus time in an adaptive network that changes its capacity based on demand;
  • FIG. 3 shows the functional blocks of the cloud routing system of FIG. 2;
  • FIG. 4 shows the traffic processing pipeline in the cloud routing network of FIG. 2;
  • FIG. 5 shows the cloud routing workflow of the present invention;
  • FIG. 6 shows the process of network capacity auto-scaling and route convergence of the present invention;
  • FIG. 7 shows the node management workflow of the present invention;
  • FIG. 8 shows various components in a cloud routing network;
  • FIG. 9 shows a traffic management unit (TMU); and
  • FIG. 10 shows the various sub-components of a traffic processing unit (TPU).
  • DETAILED DESCRIPTION OF THE INVENTION Cloud Routing Network
  • The present invention describes a cloud routing network that is implemented as an overlay virtual network or as a physical network. By way of background, we use the term “cloud routing network” to refer to a network (virtual or physical) that includes traffic processing nodes (TPUs) deployed at various locations inter-connected by network links, through which client traffic travels to destinations. A cloud routing network can be a virtual overlay network superimposed on an underlying physical network, a physical network or a combination of both. Referring to FIG. 2, the cloud routing network 300 includes router clouds 340, 350 and 360, which are superimposed over a physical network 370, which in this case is the Internet. Cloud 340 includes TPUs 342, 344, 346. Cloud 350 includes TPUs 352, 354 and cloud 360 includes TPUs 362, 364. Each TPU has a certain amount of processing capacity. The TPUs are connected to each other via network links. Each link possesses a certain amount of bandwidth. The processing capacity of the cloud network is the combined processing capacities of all the TPUs. The bandwidth capacity of the cloud network is the combined bandwidth capacity of all the links.
  • Cloud network 300 also includes a traffic management system 330, a traffic processing system 334, a data processing system 332 and a monitoring system 336. These systems are specialized software that the traffic processing nodes run in order to perform functions such as traffic monitoring, TPU node management, traffic re-direction, traffic splitting, load balancing, traffic inspection, traffic cleansing, traffic optimization, route selection, route optimization, among others. In one example, cloud network 300 is implemented as a virtual network that includes virtual machines at various commercially available cloud computing data centers, such as Amazon.com's Elastic Computing Cloud (EC2), SoftLayer, RackSpace, GoGrid, FlexiScale, AT&T, Verizon, Fujitsu, Voxel, among others. These cloud computing data centers provide the physical infrastructure to add or remove TPU nodes dynamically, which further enables the virtual network to scale both its processing capacity and network bandwidth capacity. When traffic grows to a certain level, the network starts up more TPUs, adds links to these new TPU nodes and thus increases the network's processing power as well as bandwidth capacity. When traffic level decreases to a certain threshold, the network shuts down certain TPUs to reduce its processing and bandwidth capacity.
  • The traffic management system 330 directs network traffic to its traffic processing units (TPU). The traffic monitoring system 336 monitors the network traffic, the traffic processing system 334 inspects and processes the network traffic and the data processing 332 gathers data from different sources and provides global decision support and means to configure and manage the system. Referring to FIG. 3, the functional components of the cloud routing system 300 include a traffic management interface unit 410, a traffic redirection unit 420, a traffic routing unit 430, a node management unit 440, a monitoring unit 450 and a data repository 460. The traffic management interface unit 410 includes a management user interface (UI) 412 and a management API 414.
  • For a virtual overlay network based cloud routing network, most TPU nodes are virtual machines running specialized traffic handling software. Various TPU nodes may belong to different clouds. Each cloud itself is a collection of nodes located in the same data center (or the same geographic location). Some nodes perform traffic management. Some nodes perform traffic processing. Some nodes perform monitoring and data processing. Some nodes perform management functions to adjust the network's capacity. Some nodes perform access management and security control. These nodes are connected to each other via the underlying network 370. The connection between two nodes may contain many physical links and hops in the underlying network, but these links and hops together form a conceptual “virtual link” that conceptually connects these two nodes directly. All these virtual links together with the TPU nodes form a virtual network. Each node has only a fixed amount of bandwidth and processing capacity. The capacity of the network is the sum of the capacity of all nodes, and thus a cloud routing network has only a fixed amount of processing and network capacity at any given moment. This fixed amount of capacity may be insufficient or excessive for the traffic demand. By adjusting the capacity of individual nodes or by adding or removing nodes, the network is able to adjust its processing power as well as bandwidth capacity.
  • In the case when a cloud routing network is primarily a physical network, most TPU nodes are physical machines running specialized traffic handling software, including general purpose computers as well as specially designed hardware appliances. Again, various TPU nodes may belong to different clouds. In each cloud, some nodes perform traffic management. Some nodes perform traffic processing. Some nodes perform monitoring and data processing. Some nodes perform management functions to adjust the network's capacity. Some nodes perform access management and security control. These nodes are connected to each other via network links. These links together with the TPU nodes form a network. Each node has only a fixed amount of bandwidth and processing capacity. The capacity of this network is the sum of the capacity of all nodes, and thus a cloud routing network has only a fixed amount of processing and network capacity at any given moment. This fixed account of capacity may be insufficient or excessive for the traffic demand. By adjusting the capacity of individual nodes or by adding or removing nodes, the network is able to adjust its processing power as well as bandwidth capacity.
  • Traffic Processing
  • The invention uses a cloud routing network service to process traffic and thus delivers “conditioned” traffic from source to destination according to delivery requirements. FIG. 2 shows a typical traffic processing service. When a client 305 issues a request to a network service running on servers 550 and 560, the cloud routing network 300 processes the request by doing the following steps:
      • 1. Traffic management service 330 intercepts the requests and routes the request to a TPU node;
      • 2. The TPU node checks the service's specific policy and performs the pipeline processing shown in FIG. 4;
      • 3. If necessary, a global data repository 332 is used for data collection and data analysis for decision support;
      • 4. If necessary, the client request is routed to the next TPU node, i.e., from TPU 342 to 352; and then
      • 5. Request is sent to an “optimal” server 550 for processing
  • More specifically, when a client issues a request to a server (for example, a consumer enters a web URL into a web browser to access a web site), the default Internet routing mechanism would route the request through the network hops along a certain network path from the client to the target server (“default path”). Using a cloud routing network, if there are multiple server nodes, the cloud routing network first selects an “optimal” server node from the multiple server nodes to as the target serve node to serve the request. This server node selection process takes into consideration factors including load balancing, performance, cost, and geographic proximity, among others. Secondly, instead of going through the default path, the traffic management service redirects the request to an “optimal” TPU within the overlay network (“Optimal” is defined by the system's routing policy, such as being geographically nearest, most cost effective, or a combination of a few factors). This “optimal” TPU further routes the request to second “optimal” TPU within the cloud routing network if necessary. For performance and reliability reasons, these two TPU nodes communicate with each other using either the best available or an optimized transport mechanism. Then the second “optimal” node may route the request to a third “optimal” node and so on. This process can be repeated within the cloud routing network until the request finally arrives at the target. The set of “optimal” TPU nodes together form a “virtual” path along which traffic travels. This virtual path is chosen in such a way that a certain routing measure (such as performance, cost, carbon footprint, or a combination of a few factors) is optimized. When the server responds, the response goes through a similar pipeline process within the cloud routing network until it is reaches the client.
  • FIG. 5 shows a typical network routing process. In this embodiment, the traffic management service utilizes a Domain Name Server (DNS) mechanism. The customer 801 configures the DNS record for an application so that DNS queries are processed by the cloud routing network 800, as shown in FIG. 8. Typical ways of configuring DNS records include setting the DNS server, the CNAME record or the “A” record of the application to a DNS server provided by the cloud routing network. When a client wants to access the application (e.g. www.somesite.com), the client needs to resolve the hostname to an IP address. The cloud routing network receives the DNS query. Based on the current routing policy, the network 800 first selects an “optimal” server node among the plurality of server nodes that the application is running on, and then selects an entry router 803. The IP address of the entry router node 803 is returned as a result of the DNS query. When the entry router 803 receives a message from the client 801, it selects an optimal exit router node 804, optimal path 805 as well as an optimal transport mechanism to deliver the message. The exit router node 804 receives the message, and further delivers it to the target server node 820. In this process, client IP, path information and performance metrics data are collected and logged in data processing unit (DPU) 806, which can be used for future path selection and node selection.
  • Process Capacity Scaling and Bandwidth Capacity Scaling
  • The invention enables a network to adjust its process capacity and bandwidth in response to traffic demand variations. The cloud routing network 300 monitors traffic demand, load conditions, network performance and various other factors via its monitoring service 336. When certain conditions are met, it dynamically launches new nodes at appropriate locations, activates links to these new nodes and spreads traffic to these new nodes in response to increased demand, or shuts down some existing nodes in response to decreased traffic demand. The net result is that the cloud routing network dynamically adjusts its processing and network capacity to deliver optimal results while eliminating unnecessary capacity waste and carbon footprint.
  • A cloud routing network utilizes an Application Programming Interface (API) from individual nodes to add or remove nodes from the network. Cloud computing providers typically provide APIs that allows a third party to manage machines instances. For example, Amazon.com's EC2 provides Amazon Web Services (AWS) based APIs that a third party can send web services messages to interact with and manage virtual machine instances, such as starting a new node, shutting down an existing node, checking the status of a node, etc. The managing means of the cloud routing network typically utilizes such APIs to add or remove traffic processing nodes and links, thus adjusting the network's capacity.
  • FIG. 6 depicts two important aspects of the cloud routing network: adaptive scaling and path convergence. Based on the continuously collected metrics data from monitor nodes and logs, the node management module 440 (shown in FIG. 3) checks the current capacity and takes actions. When it detects that capacity is “insufficient” according to a certain measure, it starts new router nodes. The router table is updated to include the new routers and thus spreads traffic to the new routers. When too much capacity is detected, node management module selectively shuts down some of the router nodes after traffic to these nodes have been drained up. The router tables are updated by removing these router nodes from the tables. At any time, when an event such as router failure or path condition change occurs, the router table is updated to reflect the change. The updated router table is used for subsequent routing.
  • Further, the cloud routing network can quickly recover from “fault”. When a fault such as node failure and link failure occurs, the system detects the problem and recovers from it by either starting a new node or selecting an alternative route. As a result, though individual components may not be reliable, the overall system is highly reliable.
  • Traffic Processing Unit Node Management
  • Node management module 440 provides services for managing the TPU nodes, such as starting a virtual machine (VM) instance, stopping a VM instance and recovering from a node failure, among others. In accordance to the node management policies in the system, this service launches new nodes when the traffic demand is high and it shuts down some nodes when it detects these nodes are not necessary any more.
  • The node monitoring module 450 monitors the TPU nodes over the network, collects performance and availability data, and provides feedback to the cloud routing system 300. This feedback is then used to make decisions such as when to scale up and when to scale down. Data repository 460 contains data for the cloud routing system, such as Virtual Machine Image (VMI), application artifacts (files, scripts, and configuration data), routing policy data, and node management policy data, among others.
  • FIG. 7 shows the node management workflow. When the system receives a node status change event from its monitoring agents, it first checks whether the event signals a node down. If so, the node is removed from the system. If the system policy says “re-launch failed nodes”, the node controller will try to launch a new node. Then the system checks whether the event indicates that the current set of server nodes are getting overloaded. If so, at a certain threshold, and if the system's policy permits, a node manager will launch new nodes and notify the traffic management service to spread load to the new nodes. Finally, the system checks to see whether it is in the state of “having too much capacity”. If so and the node management policy permits, a node controller will try to shut down a certain number of nodes to eliminate capacity waste.
  • In launching new nodes, the system picks the best geographic region to launch the new node. Globally distributed cloud environments such as Amazon.com's EC2 cover several continents, as shown in FIG. 2A. Launching new nodes at appropriate geographic locations help spread application load globally, reduce network traffic and improve application performance. In shutting down nodes to reduce capacity waste, the system checks whether session stickiness is required for the application. If so, shutdown is timed until all current sessions on these nodes have expired.
  • Monitoring
  • The cloud routing network contains a monitoring service 336 (that includes monitoring module 450) that provides the necessary data to the cloud routing network 300 as the basis for its decisions. Various embodiments implement a variety of techniques for monitoring. The following lists a few examples of monitoring techniques:
      • 1. Internet Control Message Protocol (ICMP) Ping: A small IP packet that is sent over the network to detect route and node status;
      • 2. traceroute: a technique commonly to check network route conditions;
      • 3. Host agent: an embedded agent running on host computers that collects data about the host;
      • 4. Web performance monitoring: a monitor node, acting as a normal user agent, periodically sends HTTP requests to a web server and processes the HTTP responses from the web server. The monitor nodes records metrics along the way, such as DNS resolution time, request time, response time, page load time, number of requests, number of JavaScript files, or page footprint, among others.
      • 5. Security monitoring: A monitor node periodically scans a target system for security vulnerabilities such as network port scanning and network service scanning to determine which ports are publicly accessible and which network services are running, further determining whether there are vulnerabilities.
      • 6. Content security monitoring: a monitor nodes would periodically crawls a web site and scans its content for detection of infected content, such as malware, spyware, undesirable adult content, or virus, among others.
  • The above examples are for illustration purpose. The present invention is agnostic and accommodates a wide variety of ways of monitoring. An embodiment of the present invention employs all above techniques for monitoring different target systems: Using ICMP, traceroute and host agent to monitor the cloud routing network itself, using web performance monitoring, network security monitoring and content security monitoring to monitor the available, performance and security of target network services such as web applications. A data processing system (DPS) would aggregate data from such monitoring service and provides all other services global visibility to such data.
  • Several embodiments of the present invention have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the invention. Accordingly, other embodiments are within the scope of the following claims.

Claims (20)

  1. 1. A method for automatic scaling of processing capacity and bandwidth capacity of a network comprising:
    providing a network comprising a plurality of traffic processing units and a plurality of network links;
    providing monitoring means for monitoring processing capacity demand and bandwidth capacity demand of said network;
    providing managing means for adding traffic processing units to said network, removing traffic processing units from said network, connecting links to said network and disconnecting links from said network;
    monitoring processing capacity demand and bandwidth capacity demand of said network via said monitoring means;
    dynamically adjusting processing capacity of said network by selectively adding or removing traffic processing units in said network via said managing means upon observation of processing capacity demand increase or processing capacity demand decrease, respectively;
    dynamically adjusting bandwidth capacity of said network by selectively connecting or disconnecting links in said network via said managing means upon observation of bandwidth capacity demand increase or bandwidth capacity decrease, respectively.
  2. 2. The method of claim 1, wherein said traffic processing units comprise virtual machines.
  3. 3. The method of claim 2, wherein said virtual machines comprise virtual computing instances provided by commercial cloud computing providers.
  4. 4. The method of claim 1, wherein said traffic processing units comprise physical machines.
  5. 5. The method of claim 1, wherein said network comprises an overlay network superimposed over an underlying network.
  6. 6. The method of claim 5, wherein said network links comprise network links of said underlying network.
  7. 7. The method of claim 5, wherein said underlying network comprises one of the Internet, WAN, wireless Network or a private network.
  8. 8. The method of claim 1, wherein said traffic processing units are distributed at different geographic locations.
  9. 9. The method of claim 1, wherein said traffic processing units are added or removed via an Application Programming Interface (API).
  10. 10. The method of claim 1 wherein said traffic processing units comprise specially designed traffic processing hardware and general purpose computers running specially designed traffic processing software and wherein said traffic processing hardware comprise at least one of router, switch, or hub.
  11. 11. A system for automatic scaling of processing capacity and bandwidth capacity of a network comprising:
    a network comprising a plurality of traffic processing units and a plurality of network links;
    monitoring means for monitoring processing capacity demand and bandwidth capacity demand of said network;
    managing means for adding traffic processing units to said network, removing traffic processing units from said network, connecting links to said network and disconnecting links from said network;
    wherein said monitoring means monitor processing capacity demand and bandwidth capacity demand of said network and provide processing capacity demand information and bandwidth capacity demand information to said managing means;
    wherein said managing means dynamically adjust said processing capacity of said network by selectively adding or removing traffic processing units in said network upon receiving information of processing capacity demand increase or processing capacity demand decrease, respectively; and
    wherein said managing means dynamically adjust bandwidth capacity of said network by selectively connecting or disconnecting links in said network upon receiving information of bandwidth capacity demand increase or bandwidth capacity decrease, respectively.
  12. 12. The system of claim 11, wherein said traffic processing units comprise virtual machines.
  13. 13. The system of claim 11, wherein said virtual machines comprise virtual computing instances provided by commercial cloud computing providers.
  14. 14. The system of claim 11, wherein said traffic processing units comprise physical machines.
  15. 15. The system of claim 11, wherein said network comprises an overlay network superimposed over an underlying network.
  16. 16. The system of claim 15, wherein said network links comprise network links of said underlying network.
  17. 17. The system of claim 15, wherein said underlying network comprises one of the Internet, WAN, wireless Network or a private network.
  18. 18. The system of claim 11, wherein said traffic processing units are distributed at different geographic locations.
  19. 19. The system of claim 11, wherein said traffic processing units are added or removed via an Application Programming Interface (API).
  20. 20. The system of claim 11, wherein said traffic processing units comprise specially designed traffic processing hardware and general purpose computers running specially designed traffic processing software and wherein said traffic processing hardware comprise at least one of router, switch, or hub.
US12714480 2009-02-27 2010-02-27 Adaptive network with automatic scaling Abandoned US20100220622A1 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
US15606909 true 2009-02-27 2009-02-27
US16525009 true 2009-03-31 2009-03-31
US12714480 US20100220622A1 (en) 2009-02-27 2010-02-27 Adaptive network with automatic scaling

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US12714480 US20100220622A1 (en) 2009-02-27 2010-02-27 Adaptive network with automatic scaling

Publications (1)

Publication Number Publication Date
US20100220622A1 true true US20100220622A1 (en) 2010-09-02

Family

ID=42666263

Family Applications (2)

Application Number Title Priority Date Filing Date
US12714480 Abandoned US20100220622A1 (en) 2009-02-27 2010-02-27 Adaptive network with automatic scaling
US12714486 Active 2030-08-23 US8209415B2 (en) 2009-02-27 2010-02-27 System and method for computer cloud management

Family Applications After (1)

Application Number Title Priority Date Filing Date
US12714486 Active 2030-08-23 US8209415B2 (en) 2009-02-27 2010-02-27 System and method for computer cloud management

Country Status (3)

Country Link
US (2) US20100220622A1 (en)
EP (1) EP2401841A4 (en)
WO (2) WO2010099513A3 (en)

Cited By (111)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090300210A1 (en) * 2008-05-28 2009-12-03 James Michael Ferris Methods and systems for load balancing in cloud-based networks
US20090300423A1 (en) * 2008-05-28 2009-12-03 James Michael Ferris Systems and methods for software test management in cloud-based network
US20090300607A1 (en) * 2008-05-29 2009-12-03 James Michael Ferris Systems and methods for identification and management of cloud-based virtual machines
US20090300719A1 (en) * 2008-05-29 2009-12-03 James Michael Ferris Systems and methods for management of secure data in cloud-based network
US20090300149A1 (en) * 2008-05-28 2009-12-03 James Michael Ferris Systems and methods for management of virtual appliances in cloud-based network
US20090300635A1 (en) * 2008-05-30 2009-12-03 James Michael Ferris Methods and systems for providing a marketplace for cloud-based networks
US20100050172A1 (en) * 2008-08-22 2010-02-25 James Michael Ferris Methods and systems for optimizing resource usage for cloud-based networks
US20100057831A1 (en) * 2008-08-28 2010-03-04 Eric Williamson Systems and methods for promotion of calculations to cloud-based computation resources
US20100131948A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Methods and systems for providing on-demand cloud computing environments
US20100132016A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Methods and systems for securing appliances for use in a cloud computing environment
US20100131949A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Methods and systems for providing access control to user-controlled resources in a cloud computing environment
US20100131649A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Systems and methods for embedding a cloud-based resource request in a specification language wrapper
US20100131624A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Systems and methods for multiple cloud marketplace aggregation
US20100217864A1 (en) * 2009-02-23 2010-08-26 James Michael Ferris Methods and systems for communicating with third party resources in a cloud computing environment
US20100306354A1 (en) * 2009-05-28 2010-12-02 Dehaan Michael Paul Methods and systems for flexible cloud management with power management support
US20100306767A1 (en) * 2009-05-29 2010-12-02 Dehaan Michael Paul Methods and systems for automated scaling of cloud computing systems
US20100318609A1 (en) * 2009-06-15 2010-12-16 Microsoft Corporation Bridging enterprise networks into cloud
US20110055377A1 (en) * 2009-08-31 2011-03-03 Dehaan Michael Paul Methods and systems for automated migration of cloud processes to external clouds
US20110055034A1 (en) * 2009-08-31 2011-03-03 James Michael Ferris Methods and systems for pricing software infrastructure for a cloud computing environment
US20110055398A1 (en) * 2009-08-31 2011-03-03 Dehaan Michael Paul Methods and systems for flexible cloud management including external clouds
US20110055396A1 (en) * 2009-08-31 2011-03-03 Dehaan Michael Paul Methods and systems for abstracting cloud management to allow communication between independently controlled clouds
US20110078303A1 (en) * 2009-09-30 2011-03-31 Alcatel-Lucent Usa Inc. Dynamic load balancing and scaling of allocated cloud resources in an enterprise network
US20110107103A1 (en) * 2009-10-30 2011-05-05 Dehaan Michael Paul Systems and methods for secure distributed storage
US20110131315A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for verifying software license compliance in cloud computing environments
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
US20110131134A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for generating a software license knowledge base for verifying software license compliance in cloud computing environments
US20110131306A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Systems and methods for service aggregation using graduated service levels in a cloud network
US20110131499A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for monitoring cloud computing environments
CN102158475A (en) * 2011-02-22 2011-08-17 山东大学 System architecture based on student dormitory passageway system and system data synchronization method thereof
US20110213691A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for cloud-based brokerage exchange of software entitlements
US20110213719A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Methods and systems for converting standard software licenses for use in cloud computing environments
US20110213884A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Methods and systems for matching resource requests with cloud computing environments
US20110213686A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for managing a software subscription in a cloud network
US20110213875A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Methods and Systems for Providing Deployment Architectures in Cloud Computing Environments
US20110214124A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for generating cross-cloud computing appliances
US20110213687A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for or a usage manager for cross-cloud appliances
US20110225467A1 (en) * 2010-03-12 2011-09-15 International Business Machines Corporation Starting virtual instances within a cloud computing environment
US20110239039A1 (en) * 2010-03-26 2011-09-29 Dieffenbach Devon C Cloud computing enabled robust initialization and recovery of it services
CN102215163A (en) * 2011-03-24 2011-10-12 东莞中山大学研究院 Multi-server video on demand processing method
US20110289585A1 (en) * 2010-05-18 2011-11-24 Kaspersky Lab Zao Systems and Methods for Policy-Based Program Configuration
WO2012087105A1 (en) * 2010-12-22 2012-06-28 Mimos Berhad Method and system for cloud computing infrastructure monitoring
US20120297059A1 (en) * 2011-05-20 2012-11-22 Silverspore Llc Automated creation of monitoring configuration templates for cloud server images
US20120303835A1 (en) * 2011-05-23 2012-11-29 Telefonaktiebolaget Lm Ericsson (Publ) Implementing EPC in a Cloud Computer with Openflow Data Plane
US8364819B2 (en) 2010-05-28 2013-01-29 Red Hat, Inc. Systems and methods for cross-vendor mapping service in cloud networks
CN102932478A (en) * 2012-11-15 2013-02-13 北京搜狐新媒体信息技术有限公司 Cloud platform node selection method and system
US20130054776A1 (en) * 2011-08-23 2013-02-28 Tobias Kunze Automated scaling of an application and its support components
WO2013063218A1 (en) * 2011-10-25 2013-05-02 Fourth Wall Media, Inc. Network bandwidth regulation using traffic scheduling
US8458658B2 (en) 2008-02-29 2013-06-04 Red Hat, Inc. Methods and systems for dynamically building a software appliance
US20130160129A1 (en) * 2011-12-19 2013-06-20 Verizon Patent And Licensing Inc. System security evaluation
US20130191499A1 (en) * 2011-11-02 2013-07-25 Akamai Technologies, Inc. Multi-domain configuration handling in an edge network server
US8504689B2 (en) 2010-05-28 2013-08-06 Red Hat, Inc. Methods and systems for cloud deployment analysis featuring relative cloud resource importance
CN103312823A (en) * 2013-07-09 2013-09-18 苏州市职业大学 Cloud computing system
US20130258901A1 (en) * 2012-03-29 2013-10-03 Fujitsu Limited Communication interface apparatus, computer-readable recording medium for recording communication interface program, and virtual network constructing method
US8606897B2 (en) 2010-05-28 2013-12-10 Red Hat, Inc. Systems and methods for exporting usage history data as input to a management platform of a target cloud-based network
US8612615B2 (en) 2010-11-23 2013-12-17 Red Hat, Inc. Systems and methods for identifying usage histories for producing optimized cloud utilization
US8612577B2 (en) 2010-11-23 2013-12-17 Red Hat, Inc. Systems and methods for migrating software modules into one or more clouds
US8631099B2 (en) 2011-05-27 2014-01-14 Red Hat, Inc. Systems and methods for cloud deployment engine for selective workload migration or federation based on workload conditions
CN103581340A (en) * 2013-11-25 2014-02-12 星云融创(北京)信息技术有限公司 Method and device for accessing domain name to proxy gateway
US8713147B2 (en) 2010-11-24 2014-04-29 Red Hat, Inc. Matching a usage history to a new cloud
US8762501B2 (en) 2011-08-29 2014-06-24 Telefonaktiebolaget L M Ericsson (Publ) Implementing a 3G packet core in a cloud computer with openflow data and control planes
US8769083B2 (en) 2009-08-31 2014-07-01 Red Hat, Inc. Metering software infrastructure in a cloud computing environment
US8782192B2 (en) 2011-05-31 2014-07-15 Red Hat, Inc. Detecting resource consumption events over sliding intervals in cloud-based network
US20140208214A1 (en) * 2013-01-23 2014-07-24 Gabriel D. Stern Systems and methods for monitoring, visualizing, and managing physical devices and physical device locations
CN103973682A (en) * 2014-04-30 2014-08-06 北京奇虎科技有限公司 Method and device for having access to webpage
US8825791B2 (en) 2010-11-24 2014-09-02 Red Hat, Inc. Managing subscribed resource in cloud network using variable or instantaneous consumption tracking periods
US8832219B2 (en) 2011-03-01 2014-09-09 Red Hat, Inc. Generating optimized resource consumption periods for multiple users on combined basis
US8832459B2 (en) 2009-08-28 2014-09-09 Red Hat, Inc. Securely terminating processes in a cloud computing environment
US8904005B2 (en) 2010-11-23 2014-12-02 Red Hat, Inc. Indentifying service dependencies in a cloud deployment
US8909784B2 (en) 2010-11-23 2014-12-09 Red Hat, Inc. Migrating subscribed services from a set of clouds to a second set of clouds
US8909783B2 (en) 2010-05-28 2014-12-09 Red Hat, Inc. Managing multi-level service level agreements in cloud-based network
US8924539B2 (en) 2010-11-24 2014-12-30 Red Hat, Inc. Combinatorial optimization of multiple resources across a set of cloud-based networks
US8935692B2 (en) 2008-05-22 2015-01-13 Red Hat, Inc. Self-management of virtual machines in cloud-based networks
US8943497B2 (en) 2008-05-29 2015-01-27 Red Hat, Inc. Managing subscriptions for cloud-based virtual machines
US8949426B2 (en) 2010-11-24 2015-02-03 Red Hat, Inc. Aggregation of marginal subscription offsets in set of multiple host clouds
US20150036523A1 (en) * 2012-03-15 2015-02-05 Alcatel Lucent Method and server for determining home network quality
US8954564B2 (en) 2010-05-28 2015-02-10 Red Hat, Inc. Cross-cloud vendor mapping service in cloud marketplace
US8959221B2 (en) 2011-03-01 2015-02-17 Red Hat, Inc. Metering cloud resource consumption using multiple hierarchical subscription periods
WO2015031866A1 (en) * 2013-08-30 2015-03-05 Clearpath Networks, Inc. System and method of network functions virtualization of network services within and across clouds
US8977750B2 (en) 2009-02-24 2015-03-10 Red Hat, Inc. Extending security platforms to cloud-based networks
US8984104B2 (en) 2011-05-31 2015-03-17 Red Hat, Inc. Self-moving operating system installation in cloud-based network
US20150117259A1 (en) * 2013-10-30 2015-04-30 REMTCS, Inc. System and method for artificial intelligence cloud management
US9037723B2 (en) 2011-05-31 2015-05-19 Red Hat, Inc. Triggering workload movement based on policy stack having multiple selectable inputs
US9053472B2 (en) 2010-02-26 2015-06-09 Red Hat, Inc. Offering additional license terms during conversion of standard software licenses for use in cloud computing environments
US20150195164A1 (en) * 2014-01-07 2015-07-09 International Business Machines Corporation Scalable software monitoring infrastructure, using parallel task queuing, to operate in elastic cloud environments
US9092243B2 (en) 2008-05-28 2015-07-28 Red Hat, Inc. Managing a software appliance
US20150215228A1 (en) * 2014-01-28 2015-07-30 Oracle International Corporation Methods, systems, and computer readable media for a cloud-based virtualization orchestrator
US9152640B2 (en) 2012-05-10 2015-10-06 Hewlett-Packard Development Company, L.P. Determining file allocation based on file operations
US9167501B2 (en) 2011-08-29 2015-10-20 Telefonaktiebolaget L M Ericsson (Publ) Implementing a 3G packet core in a cloud computer with openflow data and control planes
US9201485B2 (en) 2009-05-29 2015-12-01 Red Hat, Inc. Power management in managed network having hardware based and virtual resources
US9202225B2 (en) 2010-05-28 2015-12-01 Red Hat, Inc. Aggregate monitoring of utilization data for vendor products in cloud networks
CN105119996A (en) * 2015-09-01 2015-12-02 浪潮集团有限公司 Resource reusing method based on cloud platform
US9311162B2 (en) 2009-05-27 2016-04-12 Red Hat, Inc. Flexible cloud management
WO2016081910A1 (en) * 2014-11-21 2016-05-26 Huawei Technologies Co., Ltd. System and method for modifying a service-specific data plane configuration
US9354939B2 (en) 2010-05-28 2016-05-31 Red Hat, Inc. Generating customized build options for cloud deployment matching usage profile against cloud infrastructure options
US9386086B2 (en) 2013-09-11 2016-07-05 Cisco Technology Inc. Dynamic scaling for multi-tiered distributed systems using payoff optimization of application classes
US9398082B2 (en) 2008-05-29 2016-07-19 Red Hat, Inc. Software appliance management using broadcast technique
WO2016114866A1 (en) * 2015-01-13 2016-07-21 Intel IP Corporation Techniques for monitoring virtualized network functions or network functions virtualization infrastructure
US9436459B2 (en) 2010-05-28 2016-09-06 Red Hat, Inc. Generating cross-mapping of vendor software in a cloud computing environment
US9442771B2 (en) 2010-11-24 2016-09-13 Red Hat, Inc. Generating configurable subscription parameters
US9450783B2 (en) 2009-05-28 2016-09-20 Red Hat, Inc. Abstracting cloud management
US9485117B2 (en) 2009-02-23 2016-11-01 Red Hat, Inc. Providing user-controlled resources for cloud computing environments
US9537775B2 (en) 2013-09-23 2017-01-03 Oracle International Corporation Methods, systems, and computer readable media for diameter load and overload information and virtualization
US9563479B2 (en) 2010-11-30 2017-02-07 Red Hat, Inc. Brokering optimized resource supply costs in host cloud-based network using predictive workloads
US9606831B2 (en) 2010-11-30 2017-03-28 Red Hat, Inc. Migrating virtual machine operations
US9703609B2 (en) 2009-05-29 2017-07-11 Red Hat, Inc. Matching resources associated with a virtual machine to offered resources
US9736252B2 (en) 2010-11-23 2017-08-15 Red Hat, Inc. Migrating subscribed services in a cloud deployment
US9836339B1 (en) * 2014-09-24 2017-12-05 Amazon Technologies, Inc. Application programming interface as a service
US9838483B2 (en) 2013-11-21 2017-12-05 Oracle International Corporation Methods, systems, and computer readable media for a network function virtualization information concentrator
US9870541B2 (en) 2008-11-26 2018-01-16 Red Hat, Inc. Service level backup using re-cloud network
US9912558B2 (en) 2015-01-13 2018-03-06 Intel IP Corporation Techniques for monitoring virtualized network functions or network functions virtualization infrastructure
US9917729B2 (en) 2015-04-21 2018-03-13 Oracle International Corporation Methods, systems, and computer readable media for multi-layer orchestration in software defined networks (SDNs)

Families Citing this family (151)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8326814B2 (en) 2007-12-05 2012-12-04 Box, Inc. Web-based file management system and service
US9501329B2 (en) * 2009-05-08 2016-11-22 Rackspace Us, Inc. Methods and systems for cloud computing management
JP5556393B2 (en) * 2010-06-04 2014-07-23 富士通株式会社 Network system, the arrangement method of the management server and the virtual machine
EP2583211A4 (en) 2010-06-15 2016-06-22 Oracle Int Corp Virtual computing infrastructure
US20150106813A1 (en) * 2010-10-21 2015-04-16 Brocade Communications Systems, Inc. Method and apparatus for provisioning of resources to support applications and their varying demands
US9729464B1 (en) 2010-06-23 2017-08-08 Brocade Communications Systems, Inc. Method and apparatus for provisioning of resources to support applications and their varying demands
US20120221603A1 (en) * 2010-07-02 2012-08-30 salesforces.com, Inc. Distributed mobile services
WO2012023050A3 (en) 2010-08-20 2012-04-12 Overtis Group Limited Secure cloud computing system and method
US8739157B2 (en) * 2010-08-26 2014-05-27 Adobe Systems Incorporated System and method for managing cloud deployment configuration of an application
US9342368B2 (en) * 2010-08-31 2016-05-17 International Business Machines Corporation Modular cloud computing system
US9003014B2 (en) 2010-08-31 2015-04-07 International Business Machines Corporation Modular cloud dynamic application assignment
US8862542B2 (en) * 2010-08-31 2014-10-14 Red Hat, Inc. Replicating data objects within a storage network
US9858133B2 (en) * 2010-09-20 2018-01-02 Netflix, Inc. Techniques for assessing the resiliency of a distribution computing service provided by a collection of interacting servers
US8769534B2 (en) * 2010-09-23 2014-07-01 Accenture Global Services Limited Measuring CPU utilization in a cloud computing infrastructure by artificially executing a bursting application on a virtual machine
US9483313B2 (en) * 2010-10-19 2016-11-01 Microsoft Technology Licensing, Llc Availability management for reference data services
US20120102185A1 (en) * 2010-10-20 2012-04-26 Sony Computer Entertainment America Inc. Resource management of server hosts in online game environment
US8667138B2 (en) 2010-10-29 2014-03-04 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
US8996689B2 (en) * 2010-11-11 2015-03-31 Telefonaktiebolaget L M Ericsson (Publ) Methods of operating networks, application servers, and wireless devices supporting machine-to-machine applications
JP5587512B2 (en) 2010-11-24 2014-09-10 テレフオンアクチーボラゲット エル エム エリクソン(パブル) Method and apparatus for enabling data transmission between a mobile device and a static destination address
US20120144389A1 (en) * 2010-12-07 2012-06-07 International Business Machines Corporation Optimizing virtual image deployment for hardware architecture and resources
WO2012087104A1 (en) * 2010-12-22 2012-06-28 Mimos Berhad Intelligent load handling in cloud infrastructure using trend analysis
US9448824B1 (en) * 2010-12-28 2016-09-20 Amazon Technologies, Inc. Capacity availability aware auto scaling
US9454406B2 (en) * 2011-02-28 2016-09-27 Novell, Inc. Techniques for cloud bursting
US9235447B2 (en) 2011-03-03 2016-01-12 Cisco Technology, Inc. Extensible attribute summarization
EP2523423A1 (en) 2011-05-10 2012-11-14 Deutsche Telekom AG Method and system for providing a distributed scalable hosting environment for web services
ES2425627B1 (en) * 2011-05-12 2014-05-05 Telefónica, S.A. Method and tracker for content distribution via a content distribution network
US9223632B2 (en) 2011-05-20 2015-12-29 Microsoft Technology Licensing, Llc Cross-cloud management and troubleshooting
WO2013144747A1 (en) * 2012-03-29 2013-10-03 Telefonaktiebolaget L M Ericsson (Publ) Implementing epc in a cloud computer with openflow data plane
US9015601B2 (en) 2011-06-21 2015-04-21 Box, Inc. Batch uploading of content to a web-based collaboration environment
US9063912B2 (en) 2011-06-22 2015-06-23 Box, Inc. Multimedia content preview rendering in a cloud content management system
EP2729877A4 (en) 2011-07-08 2015-06-17 Box Inc Desktop application for access and interaction with workspaces in a cloud-based content management system and synchronization mechanisms thereof
US9978040B2 (en) 2011-07-08 2018-05-22 Box, Inc. Collaboration sessions in a workspace on a cloud-based content management system
US9015708B2 (en) * 2011-07-28 2015-04-21 International Business Machines Corporation System for improving the performance of high performance computing applications on cloud using integrated load balancing
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
US9038055B2 (en) 2011-08-05 2015-05-19 Microsoft Technology Licensing, Llc Using virtual machines to manage software builds
CN102369714A (en) * 2011-08-31 2012-03-07 华为技术有限公司 Method of cloud terminal accessing cloud server in cloud computing system and cloud computing system
US9197718B2 (en) 2011-09-23 2015-11-24 Box, Inc. Central management and control of user-contributed content in a web-based collaboration environment and management console thereof
US8849976B2 (en) 2011-09-26 2014-09-30 Limelight Networks, Inc. Dynamic route requests for multiple clouds
US8515902B2 (en) 2011-10-14 2013-08-20 Box, Inc. Automatic and semi-automatic tagging features of work items in a shared workspace for metadata tracking in a cloud-based content management system with selective or optional user contribution
US9098474B2 (en) 2011-10-26 2015-08-04 Box, Inc. Preview pre-generation based on heuristics and algorithmic prediction/assessment of predicted user behavior for enhancement of user experience
US9213503B2 (en) 2011-10-30 2015-12-15 Hewlett-Packard Development Company, L.P. Service provider management of virtual instances corresponding to hardware resources managed by other service providers
US8990307B2 (en) 2011-11-16 2015-03-24 Box, Inc. Resource effective incremental updating of a remote client with events which occurred via a cloud-enabled platform
GB201311459D0 (en) 2011-11-29 2013-08-14 Box Inc Mobile platform file and folder selection functionalities for offline access and synchronization
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
US9019123B2 (en) 2011-12-22 2015-04-28 Box, Inc. Health check services for web-based collaboration environments
US9904435B2 (en) 2012-01-06 2018-02-27 Box, Inc. System and method for actionable event generation for task delegation and management via a discussion forum in a web-based collaboration environment
US9705704B2 (en) * 2012-01-13 2017-07-11 Verizon Patent And Licensing Inc. Method and system of forming a mobile virtual network
US20130185434A1 (en) * 2012-01-18 2013-07-18 International Business Machines Corporation Cloud-based Content Management System
US8775638B2 (en) * 2012-02-02 2014-07-08 Siemens Aktiengesellschaft Method, computer readable medium and system for scaling medical applications in a public cloud data center
US9965745B2 (en) 2012-02-24 2018-05-08 Box, Inc. System and method for promoting enterprise adoption of a web-based collaboration environment
US9195636B2 (en) 2012-03-07 2015-11-24 Box, Inc. Universal file type preview for mobile devices
US8789164B2 (en) 2012-03-16 2014-07-22 International Business Machines Corporation Scalable virtual appliance cloud (SVAC) and devices usable in an SVAC
US9054919B2 (en) 2012-04-05 2015-06-09 Box, Inc. Device pinning capability for enterprise cloud service and storage accounts
US9071613B2 (en) * 2012-04-06 2015-06-30 International Business Machines Corporation Dynamic allocation of workload deployment units across a plurality of clouds
US9086929B2 (en) 2012-04-06 2015-07-21 International Business Machines Corporation Dynamic allocation of a workload across a plurality of clouds
US9575981B2 (en) 2012-04-11 2017-02-21 Box, Inc. Cloud service enabled to handle a set of files depicted to a user as a single file in a native operating system
US9286103B2 (en) * 2012-04-21 2016-03-15 International Business Machines Corporation Method and apparatus for providing a test network as an IP accessible cloud service
US9413587B2 (en) 2012-05-02 2016-08-09 Box, Inc. System and method for a third-party application to access content within a cloud-based platform
US9691051B2 (en) 2012-05-21 2017-06-27 Box, Inc. Security enhancement through application access control
US9027108B2 (en) 2012-05-23 2015-05-05 Box, Inc. Systems and methods for secure file portability between mobile applications on a mobile device
US8914900B2 (en) 2012-05-23 2014-12-16 Box, Inc. Methods, architectures and security mechanisms for a third-party application to access content in a cloud-based platform
WO2013184137A1 (en) * 2012-06-08 2013-12-12 Hewlett-Packard Development Company, L.P. Test and management for cloud applications
EP2859439A4 (en) * 2012-06-08 2016-03-30 Hewlett Packard Development Co Cloud application deployment
US8805989B2 (en) * 2012-06-25 2014-08-12 Sungard Availability Services, Lp Business continuity on cloud enterprise data centers
WO2014002196A1 (en) * 2012-06-26 2014-01-03 富士通株式会社 Communication control device, communication control method, and communication control system
US9021099B2 (en) 2012-07-03 2015-04-28 Box, Inc. Load balancing secure FTP connections among multiple FTP servers
US9712510B2 (en) 2012-07-06 2017-07-18 Box, Inc. Systems and methods for securely submitting comments among users via external messaging applications in a cloud-based platform
US9792320B2 (en) 2012-07-06 2017-10-17 Box, Inc. System and method for performing shard migration to support functions of a cloud-based service
US9237170B2 (en) 2012-07-19 2016-01-12 Box, Inc. Data loss prevention (DLP) methods and architectures by a cloud service
US9794256B2 (en) 2012-07-30 2017-10-17 Box, Inc. System and method for advanced control tools for administrators in a cloud-based service
US8868574B2 (en) 2012-07-30 2014-10-21 Box, Inc. System and method for advanced search and filtering mechanisms for enterprise administrators in a cloud-based environment
US8972956B2 (en) 2012-08-02 2015-03-03 International Business Machines Corporation Application deployment in heterogeneous environments
US20140047086A1 (en) * 2012-08-10 2014-02-13 Adobe Systems, Incorporated Systems and Methods for Providing Hot Spare Nodes
US9292352B2 (en) 2012-08-10 2016-03-22 Adobe Systems Incorporated Systems and methods for cloud management
US9369520B2 (en) 2012-08-19 2016-06-14 Box, Inc. Enhancement of upload and/or download performance based on client and/or server feedback information
US8745267B2 (en) 2012-08-19 2014-06-03 Box, Inc. Enhancement of upload and/or download performance based on client and/or server feedback information
GB201315232D0 (en) 2012-08-27 2013-10-09 Box Inc Server side techniques for reducing database workload in implementing selective subfolder synchronization in a cloud-based environment
US9135462B2 (en) 2012-08-29 2015-09-15 Box, Inc. Upload and download streaming encryption to/from a cloud-based platform
US9106700B2 (en) * 2012-09-06 2015-08-11 Amazon Technologies, Inc. Risk aware domain name service
US9311071B2 (en) 2012-09-06 2016-04-12 Box, Inc. Force upgrade of a mobile application via a server side configuration file
US9117087B2 (en) 2012-09-06 2015-08-25 Box, Inc. System and method for creating a secure channel for inter-application communication based on intents
US9195519B2 (en) 2012-09-06 2015-11-24 Box, Inc. Disabling the self-referential appearance of a mobile application in an intent via a background registration
CN103828300B (en) * 2012-09-07 2016-10-19 运软网络科技(上海)有限公司 Logical point of delivery to the physical delivery point of the telecommunications network infrastructure mapping information system
US9292833B2 (en) 2012-09-14 2016-03-22 Box, Inc. Batching notifications of activities that occur in a web-based collaboration environment
US9553758B2 (en) 2012-09-18 2017-01-24 Box, Inc. Sandboxing individual applications to specific user folders in a cloud-based service
US9959420B2 (en) 2012-10-02 2018-05-01 Box, Inc. System and method for enhanced security and management mechanisms for enterprise administrators in a cloud-based environment
US9705967B2 (en) 2012-10-04 2017-07-11 Box, Inc. Corporate user discovery and identification of recommended collaborators in a cloud platform
US9495364B2 (en) 2012-10-04 2016-11-15 Box, Inc. Enhanced quick search features, low-barrier commenting/interactive features in a collaboration platform
US9665349B2 (en) 2012-10-05 2017-05-30 Box, Inc. System and method for generating embeddable widgets which enable access to a cloud-based collaboration platform
GB2507191B (en) 2012-10-17 2015-03-04 Box Inc Remote key management in a cloud-based environment
US9374276B2 (en) 2012-11-01 2016-06-21 Microsoft Technology Licensing, Llc CDN traffic management in the cloud
US9537973B2 (en) 2012-11-01 2017-01-03 Microsoft Technology Licensing, Llc CDN load balancing in the cloud
US9569328B2 (en) * 2012-11-29 2017-02-14 Sap Se Managing application log levels in cloud environment
US8539080B1 (en) 2012-12-18 2013-09-17 Microsoft Corporation Application intelligent request management based on server health and client information
EP2939131A4 (en) * 2012-12-27 2016-08-17 Intel Corp Reservation and execution image writing of native computing devices
US9396245B2 (en) 2013-01-02 2016-07-19 Box, Inc. Race condition handling in a system which incrementally updates clients with events that occurred in a cloud-based collaboration platform
CN103051564B (en) * 2013-01-07 2016-03-30 杭州华三通信技术有限公司 Method and apparatus for dynamic allocation of resources
US9953036B2 (en) 2013-01-09 2018-04-24 Box, Inc. File system monitoring in a system which incrementally updates clients with events that occurred in a cloud-based collaboration platform
EP2755151A3 (en) 2013-01-11 2014-09-24 Box, Inc. Functionalities, features and user interface of a synchronization client to a cloud-based environment
US9392050B2 (en) * 2013-03-15 2016-07-12 Cisco Technology, Inc. Automatic configuration of external services based upon network activity
US9298511B2 (en) 2013-03-15 2016-03-29 International Business Machines Corporation Resolving deployment conflicts in heterogeneous environments
US9292349B2 (en) 2013-03-15 2016-03-22 International Business Machines Corporation Detecting deployment conflicts in heterogenous environments
US20160057214A1 (en) * 2013-04-15 2016-02-25 P. Ashok Anand Load Balancer System and Method for Server/Nodes in Cloud Environment
EP2989554A4 (en) 2013-04-26 2017-02-15 LeoNovus USA Cloud computer system and method based on distributed consumer electronic devices
US9674217B2 (en) 2013-05-03 2017-06-06 John Wong Method and system for mitigation of distributed denial of service (DDOS) attacks
US9294483B2 (en) 2013-05-03 2016-03-22 John Wong Method and system for mitigation of distributed denial of service (DDOS) attacks
US20140337291A1 (en) * 2013-05-10 2014-11-13 Box, Inc. Top down delete or unsynchronization on delete of and depiction of item synchronization with a synchronization client to a cloud-based platform
US9672503B2 (en) 2013-05-21 2017-06-06 Amazon Technologies, Inc. Bandwidth metering in large-scale networks
GB2515192B (en) 2013-06-13 2016-12-14 Box Inc Systems and methods for synchronization event building and/or collapsing by a synchronization component of a cloud-based platform
US9805050B2 (en) 2013-06-21 2017-10-31 Box, Inc. Maintaining and updating file system shadows on a local device by a synchronization client of a cloud-based platform
US9619545B2 (en) 2013-06-28 2017-04-11 Oracle International Corporation Naïve, client-side sharding with online addition of shards
KR20150011250A (en) * 2013-07-22 2015-01-30 한국전자통신연구원 Method and system for managing cloud center
US9535924B2 (en) 2013-07-30 2017-01-03 Box, Inc. Scalability improvement in a system which incrementally updates clients with events that occurred in a cloud-based collaboration platform
US20150043911A1 (en) * 2013-08-07 2015-02-12 Nec Laboratories America, Inc. Network Depth Limited Network Followed by Compute Load Balancing Procedure for Embedding Cloud Services in Software-Defined Flexible-Grid Optical Transport Networks
US9454778B2 (en) 2013-08-14 2016-09-27 Globalfoundries Inc. Automating capacity upgrade on demand
US20150066598A1 (en) * 2013-08-30 2015-03-05 International Business Machines Corporation Predicting service delivery costs under business changes
US9535909B2 (en) 2013-09-13 2017-01-03 Box, Inc. Configurable event-based automation architecture for cloud-based collaboration platforms
US8892679B1 (en) 2013-09-13 2014-11-18 Box, Inc. Mobile device, methods and user interfaces thereof in a mobile device platform featuring multifunctional access and engagement in a collaborative environment provided by a cloud-based platform
US9704137B2 (en) 2013-09-13 2017-07-11 Box, Inc. Simultaneous editing/accessing of content by collaborator invitation through a web-based or mobile application to a cloud-based collaboration platform
GB201415314D0 (en) 2013-09-13 2014-10-15 Box Inc High-availability architecture for cloud-based concurrent-access collaboration platform
US9213684B2 (en) 2013-09-13 2015-12-15 Box, Inc. System and method for rendering document in web browser or mobile device regardless of third-party plug-in software
US9912570B2 (en) * 2013-10-25 2018-03-06 Brocade Communications Systems LLC Dynamic cloning of application infrastructures
US20150120844A1 (en) * 2013-10-31 2015-04-30 International Business Machines Corporation Hierarchical response-enabled notification system
US9680715B2 (en) * 2014-01-07 2017-06-13 International Business Machines Corporation Assessing a service offering in a networked computing environment
US9647892B2 (en) 2014-01-07 2017-05-09 Red Hat, Inc. Cloud-based service resource provisioning based on network characteristics
US9444735B2 (en) 2014-02-27 2016-09-13 Cisco Technology, Inc. Contextual summarization tag and type match using network subnetting
EP3127286A1 (en) * 2014-03-31 2017-02-08 Telefonaktiebolaget LM Ericsson (publ) Handling of traffic flows in a communications system
US9602514B2 (en) 2014-06-16 2017-03-21 Box, Inc. Enterprise mobility management and verification of a managed application by a content provider
WO2016022693A1 (en) * 2014-08-05 2016-02-11 Moxie Software, Inc. Systems and methods for client-side contextual engagement
US9473567B2 (en) 2014-08-20 2016-10-18 At&T Intellectual Property I, L.P. Virtual zones for open systems interconnection layer 4 through layer 7 services in a cloud computing system
US9742690B2 (en) 2014-08-20 2017-08-22 At&T Intellectual Property I, L.P. Load adaptation architecture framework for orchestrating and managing services in a cloud computing system
US9800673B2 (en) 2014-08-20 2017-10-24 At&T Intellectual Property I, L.P. Service compiler component and service controller for open systems interconnection layer 4 through layer 7 services in a cloud computing system
US9749242B2 (en) 2014-08-20 2017-08-29 At&T Intellectual Property I, L.P. Network platform as a service layer for open systems interconnection communication model layer 4 through layer 7 services
US9606826B2 (en) * 2014-08-21 2017-03-28 International Business Machines Corporation Selecting virtual machines to be migrated to public cloud during cloud bursting based on resource usage and scaling policies
US9756022B2 (en) 2014-08-29 2017-09-05 Box, Inc. Enhanced remote key management for an enterprise in a cloud-based environment
US9894119B2 (en) 2014-08-29 2018-02-13 Box, Inc. Configurable metadata-based automation and content classification architecture for cloud-based collaboration platforms
KR20160046667A (en) * 2014-10-21 2016-04-29 삼성에스디에스 주식회사 Global server load balancer apparatus and method for dynamically controlling time-to-live
US9130844B1 (en) 2014-11-11 2015-09-08 Citigroup Technology, Inc. Systems and methods for harvesting excess compute capacity across domains
US9871745B2 (en) 2014-11-12 2018-01-16 International Business Machines Corporation Automatic scaling of at least one user application to external clouds
EP3248338A1 (en) * 2015-01-21 2017-11-29 Telefonaktiebolaget LM Ericsson (publ) Elasticity in a virtualised network
US9769206B2 (en) 2015-03-31 2017-09-19 At&T Intellectual Property I, L.P. Modes of policy participation for feedback instances
US9524200B2 (en) 2015-03-31 2016-12-20 At&T Intellectual Property I, L.P. Consultation among feedback instances
US9992277B2 (en) 2015-03-31 2018-06-05 At&T Intellectual Property I, L.P. Ephemeral feedback instances
US9866521B2 (en) 2015-07-30 2018-01-09 At&T Intellectual Property L.L.P. Methods, systems, and computer readable storage devices for determining whether to forward requests from a physical telephone number mapping service server to a virtual telephone number mapping service server
US9888127B2 (en) 2015-07-30 2018-02-06 At&T Intellectual Property I, L.P. Methods, systems, and computer readable storage devices for adjusting the use of virtual resources providing communication services based on load
US9851999B2 (en) 2015-07-30 2017-12-26 At&T Intellectual Property I, L.P. Methods, systems, and computer readable storage devices for handling virtualization of a physical telephone number mapping service
US9509578B1 (en) 2015-12-28 2016-11-29 International Business Machines Corporation Method and apparatus for determining a transaction parallelization metric
US9912571B2 (en) 2015-12-28 2018-03-06 International Business Machines Corporation Determining a transaction parallelization improvement metric
US20170214634A1 (en) * 2016-01-26 2017-07-27 Futurewei Technologies, Inc. Joint autoscaling of cloud applications

Citations (78)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4345116A (en) * 1980-12-31 1982-08-17 Bell Telephone Laboratories, Incorporated Dynamic, non-hierarchical arrangement for routing traffic
US4490103A (en) * 1978-09-25 1984-12-25 Bucher-Guyer Ag Press with easily exchangeable proof plates
US5852717A (en) * 1996-11-20 1998-12-22 Shiva Corporation Performance optimizations for computer networks utilizing HTTP
US6061349A (en) * 1995-11-03 2000-05-09 Cisco Technology, Inc. System and method for implementing multiple IP addresses on multiple ports
US6108703A (en) * 1998-07-14 2000-08-22 Massachusetts Institute Of Technology Global hosting system
US6275470B1 (en) * 1999-06-18 2001-08-14 Digital Island, Inc. On-demand overlay routing for computer-based communication networks
US20010052016A1 (en) * 1999-12-13 2001-12-13 Skene Bryan D. Method and system for balancing load distrubution on a wide area network
US6415329B1 (en) * 1998-03-06 2002-07-02 Massachusetts Institute Of Technology Method and apparatus for improving efficiency of TCP/IP protocol over high delay-bandwidth network
US6415323B1 (en) * 1999-09-03 2002-07-02 Fastforward Networks Proximity-based redirection system for robust and scalable service-node location in an internetwork
US6430618B1 (en) * 1998-03-13 2002-08-06 Massachusetts Institute Of Technology Method and apparatus for distributing requests among a plurality of resources
US6449658B1 (en) * 1999-11-18 2002-09-10 Quikcat.Com, Inc. Method and apparatus for accelerating data through communication networks
US20020163881A1 (en) * 2001-05-03 2002-11-07 Dhong Sang Hoo Communications bus with redundant signal paths and method for compensating for signal path errors in a communications bus
US6606685B2 (en) * 2001-11-15 2003-08-12 Bmc Software, Inc. System and method for intercepting file system writes
US20030210694A1 (en) * 2001-10-29 2003-11-13 Suresh Jayaraman Content routing architecture for enhanced internet services
US6650621B1 (en) * 1999-06-28 2003-11-18 Stonesoft Oy Load balancing routing algorithm based upon predefined criteria
US6754699B2 (en) * 2000-07-19 2004-06-22 Speedera Networks, Inc. Content delivery and global traffic management network system
US6795823B1 (en) * 2000-08-31 2004-09-21 Neoris Logistics, Inc. Centralized system and method for optimally routing and tracking articles
US6820133B1 (en) * 2000-02-07 2004-11-16 Netli, Inc. System and method for high-performance delivery of web content using high-performance communications protocol between the first and second specialized intermediate nodes to optimize a measure of communications performance between the source and the destination
US20050060704A1 (en) * 2003-09-17 2005-03-17 International Business Machines Corporation Managing processing within computing environments including initiation of virtual machines
US6880002B2 (en) * 2001-09-05 2005-04-12 Surgient, Inc. Virtualized logical server cloud providing non-deterministic allocation of logical attributes of logical servers to physical resources
US20050232157A1 (en) * 2004-04-20 2005-10-20 Fujitsu Limited Method and system for managing network traffic
US20060031266A1 (en) * 2004-08-03 2006-02-09 Colbeck Scott J Apparatus, system, and method for selecting optimal replica sources in a grid computing environment
US20060062161A1 (en) * 2003-03-11 2006-03-23 Huawei Technologies Co., Ltd. Method for dynamic lossless adjustment of bandwidth of an embedded resilient packet ring network
US7020719B1 (en) * 2000-03-24 2006-03-28 Netli, Inc. System and method for high-performance delivery of Internet messages by selecting first and second specialized intermediate nodes to optimize a measure of communications performance between the source and the destination
US7032010B1 (en) * 1999-12-16 2006-04-18 Speedera Networks, Inc. Scalable domain name system with persistence and load balancing
US20060085792A1 (en) * 2004-10-15 2006-04-20 Microsoft Corporation Systems and methods for a disaster recovery system utilizing virtual machines running on at least two host computers in physically different locations
US20060136908A1 (en) * 2004-12-17 2006-06-22 Alexander Gebhart Control interfaces for distributed system applications
US7072979B1 (en) * 2000-06-28 2006-07-04 Cisco Technology, Inc. Wide area load balancing of web traffic
US20060193247A1 (en) * 2005-02-25 2006-08-31 Cisco Technology, Inc. Disaster recovery for active-standby data center using route health and BGP
US7111061B2 (en) * 2000-05-26 2006-09-19 Akamai Technologies, Inc. Global load balancing across mirrored data centers
US7126955B2 (en) * 2003-01-29 2006-10-24 F5 Networks, Inc. Architecture for efficient utilization and optimum performance of a network
US7155515B1 (en) * 2001-02-06 2006-12-26 Microsoft Corporation Distributed load balancing for single entry-point systems
US7165116B2 (en) * 2000-07-10 2007-01-16 Netli, Inc. Method for network discovery using name servers
US20070078988A1 (en) * 2005-09-15 2007-04-05 3Tera, Inc. Apparatus, method and system for rapid delivery of distributed applications
US7203796B1 (en) * 2003-10-24 2007-04-10 Network Appliance, Inc. Method and apparatus for synchronous data mirroring
US7251688B2 (en) * 2000-05-26 2007-07-31 Akamai Technologies, Inc. Method for generating a network map
US7257584B2 (en) * 2002-03-18 2007-08-14 Surgient, Inc. Server file management
US7266656B2 (en) * 2004-04-28 2007-09-04 International Business Machines Corporation Minimizing system downtime through intelligent data caching in an appliance-based business continuance architecture
US7274658B2 (en) * 2001-03-01 2007-09-25 Akamai Technologies, Inc. Optimal route selection in a content delivery network
US7286476B2 (en) * 2003-08-01 2007-10-23 F5 Networks, Inc. Accelerating network performance by striping and parallelization of TCP connections
US7308499B2 (en) * 2003-04-30 2007-12-11 Avaya Technology Corp. Dynamic load balancing for enterprise IP traffic
US20080016387A1 (en) * 2006-06-29 2008-01-17 Dssdr, Llc Data transfer and recovery process
US7325109B1 (en) * 2003-10-24 2008-01-29 Network Appliance, Inc. Method and apparatus to mirror data at two separate sites without comparing the data at the two sites
US20080052404A1 (en) * 2000-01-06 2008-02-28 Akamai Technologies, Inc. Method and system for fault tolerant media streaming over the Internet
US7340532B2 (en) * 2000-03-10 2008-03-04 Akamai Technologies, Inc. Load balancing array packet routing system
US7346676B1 (en) * 2000-07-19 2008-03-18 Akamai Technologies, Inc. Load balancing service
US7346695B1 (en) * 2002-10-28 2008-03-18 F5 Networks, Inc. System and method for performing application level persistence
US7373644B2 (en) * 2001-10-02 2008-05-13 Level 3 Communications, Llc Automated server replication
US7376736B2 (en) * 2002-10-15 2008-05-20 Akamai Technologies, Inc. Method and system for providing on-demand content delivery for an origin server
US7380039B2 (en) * 2003-12-30 2008-05-27 3Tera, Inc. Apparatus, method and system for aggregrating computing resources
US7389510B2 (en) * 2003-11-06 2008-06-17 International Business Machines Corporation Load balancing of servers in a cluster
US20080151766A1 (en) * 2006-12-21 2008-06-26 Bhumip Khasnabish Method, computer program product, and apparatus for providing a distributed router architecture
US20080159287A1 (en) * 2006-12-29 2008-07-03 Lucent Technologies Inc. EFFICIENT PERFORMANCE MONITORING USING IPv6 CAPABILITIES
US20080159159A1 (en) * 2006-12-28 2008-07-03 Weinman Joseph B System And Method For Global Traffic Optimization In A Network
US7398422B2 (en) * 2003-06-26 2008-07-08 Hitachi, Ltd. Method and apparatus for data recovery system using storage based journaling
US7406692B2 (en) * 2003-02-24 2008-07-29 Bea Systems, Inc. System and method for server load balancing and server affinity
US7426617B2 (en) * 2004-02-04 2008-09-16 Network Appliance, Inc. Method and system for synchronizing volumes in a continuous data protection system
US7436775B2 (en) * 2003-07-24 2008-10-14 Alcatel Lucent Software configurable cluster-based router using stock personal computers as cluster nodes
US20080256223A1 (en) * 2007-04-13 2008-10-16 International Business Machines Corporation Scale across in a grid computing environment
US20080259795A1 (en) * 2005-10-18 2008-10-23 Giovanni Fiaschi Automatic Connectivity Adaptation of Packet Traffic in a Transport Network
US20080259944A1 (en) * 2003-09-29 2008-10-23 Satish Raghunath Method and apparatus of providing resource allocation and admission control support in a vpn
US7447774B2 (en) * 2002-08-27 2008-11-04 Cisco Technology, Inc. Load balancing network access requests
US7447939B1 (en) * 2003-02-28 2008-11-04 Sun Microsystems, Inc. Systems and methods for performing quiescence in a storage virtualization environment
US7451345B2 (en) * 2002-11-29 2008-11-11 International Business Machines Corporation Remote copy synchronization in disaster recovery computer systems
US20080281908A1 (en) * 2007-05-08 2008-11-13 Riverbed Technology, Inc. Hybrid segment-oriented file server and wan accelerator
US7454458B2 (en) * 2002-06-24 2008-11-18 Ntt Docomo, Inc. Method and system for application load balancing
US7454500B1 (en) * 2000-09-26 2008-11-18 Foundry Networks, Inc. Global server load balancing
US20080320482A1 (en) * 2007-06-20 2008-12-25 Dawson Christopher J Management of grid computing resources based on service level requirements
US7475157B1 (en) * 2001-09-14 2009-01-06 Swsoft Holding, Ltd. Server load balancing system
US7478148B2 (en) * 2001-01-16 2009-01-13 Akamai Technologies, Inc. Using virtual domain name service (DNS) zones for enterprise content delivery
US7480711B2 (en) * 2001-02-28 2009-01-20 Packeteer, Inc. System and method for efficiently forwarding client requests in a TCP/IP computing environment
US7480705B2 (en) * 2001-07-24 2009-01-20 International Business Machines Corporation Dynamic HTTP load balancing method and apparatus
US7484002B2 (en) * 2000-08-18 2009-01-27 Akamai Technologies, Inc. Content delivery and global traffic management network system
US20090030986A1 (en) * 2007-07-27 2009-01-29 Twinstrata, Inc. System and method for remote asynchronous data replication
US20090055507A1 (en) * 2007-08-20 2009-02-26 Takashi Oeda Storage and server provisioning for virtualized and geographically dispersed data centers
US7502858B2 (en) * 1999-11-22 2009-03-10 Akamai Technologies, Inc. Integrated point of presence server network
US20090271472A1 (en) * 2008-04-28 2009-10-29 Scheifler Robert W System and Method for Programmatic Management of Distributed Computing Resources
US20100131324A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Systems and methods for service level backup using re-cloud network

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6226684B1 (en) 1998-10-26 2001-05-01 Pointcast, Inc. Method and apparatus for reestablishing network connections in a multi-router network
US6597956B1 (en) * 1999-08-23 2003-07-22 Terraspring, Inc. Method and apparatus for controlling an extensible computing system
US7050963B2 (en) * 2000-09-12 2006-05-23 Progress Software Corporation Method and apparatus for flash load balancing
US7653700B1 (en) * 2000-11-16 2010-01-26 Microsoft Corporation System and method for performing client-centric load balancing of multiple globally-dispersed servers
US7102996B1 (en) 2001-05-24 2006-09-05 F5 Networks, Inc. Method and system for scaling network traffic managers
US7676576B1 (en) * 2002-08-01 2010-03-09 Foundry Networks, Inc. Method and system to clear counters used for statistical tracking for global server load balancing
US7086061B1 (en) * 2002-08-01 2006-08-01 Foundry Networks, Inc. Statistical tracking of global server load balancing for selecting the best network address from ordered list of network addresses based on a set of performance metrics
US7392314B2 (en) * 2003-08-15 2008-06-24 International Business Machines Corporation System and method for load—balancing in a resource infrastructure running application programs
US7490103B2 (en) 2004-02-04 2009-02-10 Netapp, Inc. Method and system for backing up data
US7607129B2 (en) * 2005-04-07 2009-10-20 International Business Machines Corporation Method and apparatus for using virtual machine technology for managing parallel communicating applications
US20070130324A1 (en) * 2005-12-05 2007-06-07 Jieming Wang Method for detecting non-responsive applications in a TCP-based network
US8677353B2 (en) * 2007-01-11 2014-03-18 Nec Corporation Provisioning a standby virtual machine based on the prediction of a provisioning request being generated
US8565117B2 (en) 2008-01-15 2013-10-22 Alcatel Lucent Systems and methods for network routing
US7996525B2 (en) * 2008-12-31 2011-08-09 Sap Ag Systems and methods for dynamically provisioning cloud computing resources

Patent Citations (83)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4490103A (en) * 1978-09-25 1984-12-25 Bucher-Guyer Ag Press with easily exchangeable proof plates
US4345116A (en) * 1980-12-31 1982-08-17 Bell Telephone Laboratories, Incorporated Dynamic, non-hierarchical arrangement for routing traffic
US6061349A (en) * 1995-11-03 2000-05-09 Cisco Technology, Inc. System and method for implementing multiple IP addresses on multiple ports
US5852717A (en) * 1996-11-20 1998-12-22 Shiva Corporation Performance optimizations for computer networks utilizing HTTP
US6415329B1 (en) * 1998-03-06 2002-07-02 Massachusetts Institute Of Technology Method and apparatus for improving efficiency of TCP/IP protocol over high delay-bandwidth network
US6963915B2 (en) * 1998-03-13 2005-11-08 Massachussetts Institute Of Technology Method and apparatus for distributing requests among a plurality of resources
US6430618B1 (en) * 1998-03-13 2002-08-06 Massachusetts Institute Of Technology Method and apparatus for distributing requests among a plurality of resources
US6108703A (en) * 1998-07-14 2000-08-22 Massachusetts Institute Of Technology Global hosting system
US6275470B1 (en) * 1999-06-18 2001-08-14 Digital Island, Inc. On-demand overlay routing for computer-based communication networks
US6650621B1 (en) * 1999-06-28 2003-11-18 Stonesoft Oy Load balancing routing algorithm based upon predefined criteria
US6415323B1 (en) * 1999-09-03 2002-07-02 Fastforward Networks Proximity-based redirection system for robust and scalable service-node location in an internetwork
US6449658B1 (en) * 1999-11-18 2002-09-10 Quikcat.Com, Inc. Method and apparatus for accelerating data through communication networks
US7502858B2 (en) * 1999-11-22 2009-03-10 Akamai Technologies, Inc. Integrated point of presence server network
US20010052016A1 (en) * 1999-12-13 2001-12-13 Skene Bryan D. Method and system for balancing load distrubution on a wide area network
US7032010B1 (en) * 1999-12-16 2006-04-18 Speedera Networks, Inc. Scalable domain name system with persistence and load balancing
US20080052404A1 (en) * 2000-01-06 2008-02-28 Akamai Technologies, Inc. Method and system for fault tolerant media streaming over the Internet
US7359985B2 (en) * 2000-02-07 2008-04-15 Akamai Technologies, Inc. Method and system for high-performance delivery of web content using high-performance communications protocols to optimize a measure of communications performance between a source and a destination
US6820133B1 (en) * 2000-02-07 2004-11-16 Netli, Inc. System and method for high-performance delivery of web content using high-performance communications protocol between the first and second specialized intermediate nodes to optimize a measure of communications performance between the source and the destination
US7392325B2 (en) * 2000-02-07 2008-06-24 Akamai Technologies, Inc. Method for high-performance delivery of web content
US7418518B2 (en) * 2000-02-07 2008-08-26 Akamai Technologies, Inc. Method for high-performance delivery of web content
US7340532B2 (en) * 2000-03-10 2008-03-04 Akamai Technologies, Inc. Load balancing array packet routing system
US7020719B1 (en) * 2000-03-24 2006-03-28 Netli, Inc. System and method for high-performance delivery of Internet messages by selecting first and second specialized intermediate nodes to optimize a measure of communications performance between the source and the destination
US7111061B2 (en) * 2000-05-26 2006-09-19 Akamai Technologies, Inc. Global load balancing across mirrored data centers
US7251688B2 (en) * 2000-05-26 2007-07-31 Akamai Technologies, Inc. Method for generating a network map
US7072979B1 (en) * 2000-06-28 2006-07-04 Cisco Technology, Inc. Wide area load balancing of web traffic
US7165116B2 (en) * 2000-07-10 2007-01-16 Netli, Inc. Method for network discovery using name servers
US6754699B2 (en) * 2000-07-19 2004-06-22 Speedera Networks, Inc. Content delivery and global traffic management network system
US7346676B1 (en) * 2000-07-19 2008-03-18 Akamai Technologies, Inc. Load balancing service
US7484002B2 (en) * 2000-08-18 2009-01-27 Akamai Technologies, Inc. Content delivery and global traffic management network system
US6795823B1 (en) * 2000-08-31 2004-09-21 Neoris Logistics, Inc. Centralized system and method for optimally routing and tracking articles
US7454500B1 (en) * 2000-09-26 2008-11-18 Foundry Networks, Inc. Global server load balancing
US7478148B2 (en) * 2001-01-16 2009-01-13 Akamai Technologies, Inc. Using virtual domain name service (DNS) zones for enterprise content delivery
US7155515B1 (en) * 2001-02-06 2006-12-26 Microsoft Corporation Distributed load balancing for single entry-point systems
US7395335B2 (en) * 2001-02-06 2008-07-01 Microsoft Corporation Distributed load balancing for single entry-point systems
US7480711B2 (en) * 2001-02-28 2009-01-20 Packeteer, Inc. System and method for efficiently forwarding client requests in a TCP/IP computing environment
US7274658B2 (en) * 2001-03-01 2007-09-25 Akamai Technologies, Inc. Optimal route selection in a content delivery network
US20020163881A1 (en) * 2001-05-03 2002-11-07 Dhong Sang Hoo Communications bus with redundant signal paths and method for compensating for signal path errors in a communications bus
US7480705B2 (en) * 2001-07-24 2009-01-20 International Business Machines Corporation Dynamic HTTP load balancing method and apparatus
US6880002B2 (en) * 2001-09-05 2005-04-12 Surgient, Inc. Virtualized logical server cloud providing non-deterministic allocation of logical attributes of logical servers to physical resources
US7475157B1 (en) * 2001-09-14 2009-01-06 Swsoft Holding, Ltd. Server load balancing system
US7373644B2 (en) * 2001-10-02 2008-05-13 Level 3 Communications, Llc Automated server replication
US20030210694A1 (en) * 2001-10-29 2003-11-13 Suresh Jayaraman Content routing architecture for enhanced internet services
US6606685B2 (en) * 2001-11-15 2003-08-12 Bmc Software, Inc. System and method for intercepting file system writes
US7257584B2 (en) * 2002-03-18 2007-08-14 Surgient, Inc. Server file management
US7454458B2 (en) * 2002-06-24 2008-11-18 Ntt Docomo, Inc. Method and system for application load balancing
US7447774B2 (en) * 2002-08-27 2008-11-04 Cisco Technology, Inc. Load balancing network access requests
US7376736B2 (en) * 2002-10-15 2008-05-20 Akamai Technologies, Inc. Method and system for providing on-demand content delivery for an origin server
US7346695B1 (en) * 2002-10-28 2008-03-18 F5 Networks, Inc. System and method for performing application level persistence
US7451345B2 (en) * 2002-11-29 2008-11-11 International Business Machines Corporation Remote copy synchronization in disaster recovery computer systems
US7126955B2 (en) * 2003-01-29 2006-10-24 F5 Networks, Inc. Architecture for efficient utilization and optimum performance of a network
US7406692B2 (en) * 2003-02-24 2008-07-29 Bea Systems, Inc. System and method for server load balancing and server affinity
US7447939B1 (en) * 2003-02-28 2008-11-04 Sun Microsystems, Inc. Systems and methods for performing quiescence in a storage virtualization environment
US20060062161A1 (en) * 2003-03-11 2006-03-23 Huawei Technologies Co., Ltd. Method for dynamic lossless adjustment of bandwidth of an embedded resilient packet ring network
US7308499B2 (en) * 2003-04-30 2007-12-11 Avaya Technology Corp. Dynamic load balancing for enterprise IP traffic
US7398422B2 (en) * 2003-06-26 2008-07-08 Hitachi, Ltd. Method and apparatus for data recovery system using storage based journaling
US7436775B2 (en) * 2003-07-24 2008-10-14 Alcatel Lucent Software configurable cluster-based router using stock personal computers as cluster nodes
US7286476B2 (en) * 2003-08-01 2007-10-23 F5 Networks, Inc. Accelerating network performance by striping and parallelization of TCP connections
US20050060704A1 (en) * 2003-09-17 2005-03-17 International Business Machines Corporation Managing processing within computing environments including initiation of virtual machines
US20080259944A1 (en) * 2003-09-29 2008-10-23 Satish Raghunath Method and apparatus of providing resource allocation and admission control support in a vpn
US7203796B1 (en) * 2003-10-24 2007-04-10 Network Appliance, Inc. Method and apparatus for synchronous data mirroring
US7325109B1 (en) * 2003-10-24 2008-01-29 Network Appliance, Inc. Method and apparatus to mirror data at two separate sites without comparing the data at the two sites
US7389510B2 (en) * 2003-11-06 2008-06-17 International Business Machines Corporation Load balancing of servers in a cluster
US7380039B2 (en) * 2003-12-30 2008-05-27 3Tera, Inc. Apparatus, method and system for aggregrating computing resources
US7426617B2 (en) * 2004-02-04 2008-09-16 Network Appliance, Inc. Method and system for synchronizing volumes in a continuous data protection system
US20050232157A1 (en) * 2004-04-20 2005-10-20 Fujitsu Limited Method and system for managing network traffic
US7266656B2 (en) * 2004-04-28 2007-09-04 International Business Machines Corporation Minimizing system downtime through intelligent data caching in an appliance-based business continuance architecture
US20060031266A1 (en) * 2004-08-03 2006-02-09 Colbeck Scott J Apparatus, system, and method for selecting optimal replica sources in a grid computing environment
US20060085792A1 (en) * 2004-10-15 2006-04-20 Microsoft Corporation Systems and methods for a disaster recovery system utilizing virtual machines running on at least two host computers in physically different locations
US20060136908A1 (en) * 2004-12-17 2006-06-22 Alexander Gebhart Control interfaces for distributed system applications
US20060193247A1 (en) * 2005-02-25 2006-08-31 Cisco Technology, Inc. Disaster recovery for active-standby data center using route health and BGP
US20070078988A1 (en) * 2005-09-15 2007-04-05 3Tera, Inc. Apparatus, method and system for rapid delivery of distributed applications
US20080259795A1 (en) * 2005-10-18 2008-10-23 Giovanni Fiaschi Automatic Connectivity Adaptation of Packet Traffic in a Transport Network
US20080016387A1 (en) * 2006-06-29 2008-01-17 Dssdr, Llc Data transfer and recovery process
US20080151766A1 (en) * 2006-12-21 2008-06-26 Bhumip Khasnabish Method, computer program product, and apparatus for providing a distributed router architecture
US20080159159A1 (en) * 2006-12-28 2008-07-03 Weinman Joseph B System And Method For Global Traffic Optimization In A Network
US20080159287A1 (en) * 2006-12-29 2008-07-03 Lucent Technologies Inc. EFFICIENT PERFORMANCE MONITORING USING IPv6 CAPABILITIES
US20080256223A1 (en) * 2007-04-13 2008-10-16 International Business Machines Corporation Scale across in a grid computing environment
US20080281908A1 (en) * 2007-05-08 2008-11-13 Riverbed Technology, Inc. Hybrid segment-oriented file server and wan accelerator
US20080320482A1 (en) * 2007-06-20 2008-12-25 Dawson Christopher J Management of grid computing resources based on service level requirements
US20090030986A1 (en) * 2007-07-27 2009-01-29 Twinstrata, Inc. System and method for remote asynchronous data replication
US20090055507A1 (en) * 2007-08-20 2009-02-26 Takashi Oeda Storage and server provisioning for virtualized and geographically dispersed data centers
US20090271472A1 (en) * 2008-04-28 2009-10-29 Scheifler Robert W System and Method for Programmatic Management of Distributed Computing Resources
US20100131324A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Systems and methods for service level backup using re-cloud network

Cited By (162)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8458658B2 (en) 2008-02-29 2013-06-04 Red Hat, Inc. Methods and systems for dynamically building a software appliance
US8935692B2 (en) 2008-05-22 2015-01-13 Red Hat, Inc. Self-management of virtual machines in cloud-based networks
US9363198B2 (en) 2008-05-28 2016-06-07 Red Hat, Inc. Load balancing in cloud-based networks
US20090300210A1 (en) * 2008-05-28 2009-12-03 James Michael Ferris Methods and systems for load balancing in cloud-based networks
US20090300149A1 (en) * 2008-05-28 2009-12-03 James Michael Ferris Systems and methods for management of virtual appliances in cloud-based network
US9928041B2 (en) 2008-05-28 2018-03-27 Red Hat, Inc. Managing a software appliance
US8849971B2 (en) 2008-05-28 2014-09-30 Red Hat, Inc. Load balancing in cloud-based networks
US20090300423A1 (en) * 2008-05-28 2009-12-03 James Michael Ferris Systems and methods for software test management in cloud-based network
US8239509B2 (en) 2008-05-28 2012-08-07 Red Hat, Inc. Systems and methods for management of virtual appliances in cloud-based network
US8612566B2 (en) 2008-05-28 2013-12-17 Red Hat, Inc. Systems and methods for management of virtual appliances in cloud-based network
US9092243B2 (en) 2008-05-28 2015-07-28 Red Hat, Inc. Managing a software appliance
US8341625B2 (en) 2008-05-29 2012-12-25 Red Hat, Inc. Systems and methods for identification and management of cloud-based virtual machines
US20090300719A1 (en) * 2008-05-29 2009-12-03 James Michael Ferris Systems and methods for management of secure data in cloud-based network
US20090300607A1 (en) * 2008-05-29 2009-12-03 James Michael Ferris Systems and methods for identification and management of cloud-based virtual machines
US9112836B2 (en) 2008-05-29 2015-08-18 Red Hat, Inc. Management of secure data in cloud-based network
US8943497B2 (en) 2008-05-29 2015-01-27 Red Hat, Inc. Managing subscriptions for cloud-based virtual machines
US8639950B2 (en) 2008-05-29 2014-01-28 Red Hat, Inc. Systems and methods for management of secure data in cloud-based network
US9398082B2 (en) 2008-05-29 2016-07-19 Red Hat, Inc. Software appliance management using broadcast technique
US8108912B2 (en) 2008-05-29 2012-01-31 Red Hat, Inc. Systems and methods for management of secure data in cloud-based network
US20090300635A1 (en) * 2008-05-30 2009-12-03 James Michael Ferris Methods and systems for providing a marketplace for cloud-based networks
US20100050172A1 (en) * 2008-08-22 2010-02-25 James Michael Ferris Methods and systems for optimizing resource usage for cloud-based networks
US9842004B2 (en) 2008-08-22 2017-12-12 Red Hat, Inc. Adjusting resource usage for cloud-based networks
US9910708B2 (en) 2008-08-28 2018-03-06 Red Hat, Inc. Promotion of calculations to cloud-based computation resources
US20100057831A1 (en) * 2008-08-28 2010-03-04 Eric Williamson Systems and methods for promotion of calculations to cloud-based computation resources
US9037692B2 (en) 2008-11-26 2015-05-19 Red Hat, Inc. Multiple cloud marketplace aggregation
US9407572B2 (en) 2008-11-26 2016-08-02 Red Hat, Inc. Multiple cloud marketplace aggregation
US20100132016A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Methods and systems for securing appliances for use in a cloud computing environment
US20100131948A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Methods and systems for providing on-demand cloud computing environments
US8782233B2 (en) 2008-11-26 2014-07-15 Red Hat, Inc. Embedding a cloud-based resource request in a specification language wrapper
US10025627B2 (en) 2008-11-26 2018-07-17 Red Hat, Inc. On-demand cloud computing environments
US20100131949A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Methods and systems for providing access control to user-controlled resources in a cloud computing environment
US9210173B2 (en) 2008-11-26 2015-12-08 Red Hat, Inc. Securing appliances for use in a cloud computing environment
US9870541B2 (en) 2008-11-26 2018-01-16 Red Hat, Inc. Service level backup using re-cloud network
US20100131649A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Systems and methods for embedding a cloud-based resource request in a specification language wrapper
US20100131624A1 (en) * 2008-11-26 2010-05-27 James Michael Ferris Systems and methods for multiple cloud marketplace aggregation
US8984505B2 (en) 2008-11-26 2015-03-17 Red Hat, Inc. Providing access control to user-controlled resources in a cloud computing environment
US20100217864A1 (en) * 2009-02-23 2010-08-26 James Michael Ferris Methods and systems for communicating with third party resources in a cloud computing environment
US9930138B2 (en) 2009-02-23 2018-03-27 Red Hat, Inc. Communicating with third party resources in cloud computing environment
US9485117B2 (en) 2009-02-23 2016-11-01 Red Hat, Inc. Providing user-controlled resources for cloud computing environments
US8977750B2 (en) 2009-02-24 2015-03-10 Red Hat, Inc. Extending security platforms to cloud-based networks
US9311162B2 (en) 2009-05-27 2016-04-12 Red Hat, Inc. Flexible cloud management
US9104407B2 (en) 2009-05-28 2015-08-11 Red Hat, Inc. Flexible cloud management with power management support
US9450783B2 (en) 2009-05-28 2016-09-20 Red Hat, Inc. Abstracting cloud management
US10001821B2 (en) 2009-05-28 2018-06-19 Red Hat, Inc. Cloud management with power management support
US20100306354A1 (en) * 2009-05-28 2010-12-02 Dehaan Michael Paul Methods and systems for flexible cloud management with power management support
US20100306767A1 (en) * 2009-05-29 2010-12-02 Dehaan Michael Paul Methods and systems for automated scaling of cloud computing systems
US9201485B2 (en) 2009-05-29 2015-12-01 Red Hat, Inc. Power management in managed network having hardware based and virtual resources
US9703609B2 (en) 2009-05-29 2017-07-11 Red Hat, Inc. Matching resources associated with a virtual machine to offered resources
US20100318609A1 (en) * 2009-06-15 2010-12-16 Microsoft Corporation Bridging enterprise networks into cloud
US8832459B2 (en) 2009-08-28 2014-09-09 Red Hat, Inc. Securely terminating processes in a cloud computing environment
US9100311B2 (en) 2009-08-31 2015-08-04 Red Hat, Inc. Metering software infrastructure in a cloud computing environment
US20110055034A1 (en) * 2009-08-31 2011-03-03 James Michael Ferris Methods and systems for pricing software infrastructure for a cloud computing environment
US8769083B2 (en) 2009-08-31 2014-07-01 Red Hat, Inc. Metering software infrastructure in a cloud computing environment
US20110055377A1 (en) * 2009-08-31 2011-03-03 Dehaan Michael Paul Methods and systems for automated migration of cloud processes to external clouds
US20110055398A1 (en) * 2009-08-31 2011-03-03 Dehaan Michael Paul Methods and systems for flexible cloud management including external clouds
US8862720B2 (en) 2009-08-31 2014-10-14 Red Hat, Inc. Flexible cloud management including external clouds
US8316125B2 (en) 2009-08-31 2012-11-20 Red Hat, Inc. Methods and systems for automated migration of cloud processes to external clouds
US8271653B2 (en) 2009-08-31 2012-09-18 Red Hat, Inc. Methods and systems for cloud management using multiple cloud management schemes to allow communication between independently controlled clouds
US20110055396A1 (en) * 2009-08-31 2011-03-03 Dehaan Michael Paul Methods and systems for abstracting cloud management to allow communication between independently controlled clouds
US8504443B2 (en) 2009-08-31 2013-08-06 Red Hat, Inc. Methods and systems for pricing software infrastructure for a cloud computing environment
US20110078303A1 (en) * 2009-09-30 2011-03-31 Alcatel-Lucent Usa Inc. Dynamic load balancing and scaling of allocated cloud resources in an enterprise network
US20110107103A1 (en) * 2009-10-30 2011-05-05 Dehaan Michael Paul Systems and methods for secure distributed storage
US8375223B2 (en) 2009-10-30 2013-02-12 Red Hat, Inc. Systems and methods for secure distributed storage
US9529689B2 (en) 2009-11-30 2016-12-27 Red Hat, Inc. Monitoring cloud computing environments
US20110131315A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for verifying software license compliance in cloud computing environments
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
US9971880B2 (en) 2009-11-30 2018-05-15 Red Hat, Inc. Verifying software license compliance in cloud computing environments
US20110131134A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for generating a software license knowledge base for verifying software license compliance in cloud computing environments
US20110131499A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Methods and systems for monitoring cloud computing environments
US20110131306A1 (en) * 2009-11-30 2011-06-02 James Michael Ferris Systems and methods for service aggregation using graduated service levels in a cloud network
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
US20110213691A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for cloud-based brokerage exchange of software entitlements
US9053472B2 (en) 2010-02-26 2015-06-09 Red Hat, Inc. Offering additional license terms during conversion of standard software licenses for use in cloud computing environments
US8255529B2 (en) 2010-02-26 2012-08-28 Red Hat, Inc. Methods and systems for providing deployment architectures in cloud computing environments
US20110213687A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for or a usage manager for cross-cloud appliances
US8606667B2 (en) * 2010-02-26 2013-12-10 Red Hat, Inc. Systems and methods for managing a software subscription in a cloud network
US20110214124A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for generating cross-cloud computing appliances
US20110213875A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Methods and Systems for Providing Deployment Architectures in Cloud Computing Environments
US8402139B2 (en) 2010-02-26 2013-03-19 Red Hat, Inc. Methods and systems for matching resource requests with cloud computing environments
US20110213884A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Methods and systems for matching resource requests with cloud computing environments
US20110213719A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Methods and systems for converting standard software licenses for use in cloud computing environments
US20110213686A1 (en) * 2010-02-26 2011-09-01 James Michael Ferris Systems and methods for managing a software subscription in a cloud network
US20110225467A1 (en) * 2010-03-12 2011-09-15 International Business Machines Corporation Starting virtual instances within a cloud computing environment
US8122282B2 (en) * 2010-03-12 2012-02-21 International Business Machines Corporation Starting virtual instances within a cloud computing environment
US20110239039A1 (en) * 2010-03-26 2011-09-29 Dieffenbach Devon C Cloud computing enabled robust initialization and recovery of it services
US20110289585A1 (en) * 2010-05-18 2011-11-24 Kaspersky Lab Zao Systems and Methods for Policy-Based Program Configuration
US8079060B1 (en) * 2010-05-18 2011-12-13 Kaspersky Lab Zao Systems and methods for policy-based program configuration
US8504689B2 (en) 2010-05-28 2013-08-06 Red Hat, Inc. Methods and systems for cloud deployment analysis featuring relative cloud resource importance
US9438484B2 (en) 2010-05-28 2016-09-06 Red Hat, Inc. Managing multi-level service level agreements in cloud-based networks
US8909783B2 (en) 2010-05-28 2014-12-09 Red Hat, Inc. Managing multi-level service level agreements in cloud-based network
US8606897B2 (en) 2010-05-28 2013-12-10 Red Hat, Inc. Systems and methods for exporting usage history data as input to a management platform of a target cloud-based network
US8364819B2 (en) 2010-05-28 2013-01-29 Red Hat, Inc. Systems and methods for cross-vendor mapping service in cloud networks
US9202225B2 (en) 2010-05-28 2015-12-01 Red Hat, Inc. Aggregate monitoring of utilization data for vendor products in cloud networks
US10021037B2 (en) 2010-05-28 2018-07-10 Red Hat, Inc. Provisioning cloud resources
US9436459B2 (en) 2010-05-28 2016-09-06 Red Hat, Inc. Generating cross-mapping of vendor software in a cloud computing environment
US9354939B2 (en) 2010-05-28 2016-05-31 Red Hat, Inc. Generating customized build options for cloud deployment matching usage profile against cloud infrastructure options
US8954564B2 (en) 2010-05-28 2015-02-10 Red Hat, Inc. Cross-cloud vendor mapping service in cloud marketplace
US9419913B2 (en) 2010-05-28 2016-08-16 Red Hat, Inc. Provisioning cloud resources in view of weighted importance indicators
US9306868B2 (en) 2010-05-28 2016-04-05 Red Hat, Inc. Cross-cloud computing resource usage tracking
US9736252B2 (en) 2010-11-23 2017-08-15 Red Hat, Inc. Migrating subscribed services in a cloud deployment
US8612577B2 (en) 2010-11-23 2013-12-17 Red Hat, Inc. Systems and methods for migrating software modules into one or more clouds
US8904005B2 (en) 2010-11-23 2014-12-02 Red Hat, Inc. Indentifying service dependencies in a cloud deployment
US8909784B2 (en) 2010-11-23 2014-12-09 Red Hat, Inc. Migrating subscribed services from a set of clouds to a second set of clouds
US8612615B2 (en) 2010-11-23 2013-12-17 Red Hat, Inc. Systems and methods for identifying usage histories for producing optimized cloud utilization
US8713147B2 (en) 2010-11-24 2014-04-29 Red Hat, Inc. Matching a usage history to a new cloud
US8825791B2 (en) 2010-11-24 2014-09-02 Red Hat, Inc. Managing subscribed resource in cloud network using variable or instantaneous consumption tracking periods
US8924539B2 (en) 2010-11-24 2014-12-30 Red Hat, Inc. Combinatorial optimization of multiple resources across a set of cloud-based networks
US8949426B2 (en) 2010-11-24 2015-02-03 Red Hat, Inc. Aggregation of marginal subscription offsets in set of multiple host clouds
US9442771B2 (en) 2010-11-24 2016-09-13 Red Hat, Inc. Generating configurable subscription parameters
US9606831B2 (en) 2010-11-30 2017-03-28 Red Hat, Inc. Migrating virtual machine operations
US9563479B2 (en) 2010-11-30 2017-02-07 Red Hat, Inc. Brokering optimized resource supply costs in host cloud-based network using predictive workloads
WO2012087105A1 (en) * 2010-12-22 2012-06-28 Mimos Berhad Method and system for cloud computing infrastructure monitoring
CN102158475A (en) * 2011-02-22 2011-08-17 山东大学 System architecture based on student dormitory passageway system and system data synchronization method thereof
US8959221B2 (en) 2011-03-01 2015-02-17 Red Hat, Inc. Metering cloud resource consumption using multiple hierarchical subscription periods
US8832219B2 (en) 2011-03-01 2014-09-09 Red Hat, Inc. Generating optimized resource consumption periods for multiple users on combined basis
CN102215163A (en) * 2011-03-24 2011-10-12 东莞中山大学研究院 Multi-server video on demand processing method
US20120297059A1 (en) * 2011-05-20 2012-11-22 Silverspore Llc Automated creation of monitoring configuration templates for cloud server images
US9497661B2 (en) * 2011-05-23 2016-11-15 Telefonaktiebolaget L M Ericsson (Publ) Implementing EPC in a cloud computer with openflow data plane
US8867361B2 (en) 2011-05-23 2014-10-21 Telefonaktiebolaget L M Ericsson (Publ) Implementing EPC in a cloud computer with OpenFlow data plane
US20120303835A1 (en) * 2011-05-23 2012-11-29 Telefonaktiebolaget Lm Ericsson (Publ) Implementing EPC in a Cloud Computer with Openflow Data Plane
US20150071053A1 (en) * 2011-05-23 2015-03-12 Telefonaktiebolaget L M Ericsson (Publ) Implementing epc in a cloud computer with openflow data plane
US8873398B2 (en) * 2011-05-23 2014-10-28 Telefonaktiebolaget L M Ericsson (Publ) Implementing EPC in a cloud computer with openflow data plane
US8631099B2 (en) 2011-05-27 2014-01-14 Red Hat, Inc. Systems and methods for cloud deployment engine for selective workload migration or federation based on workload conditions
US9602592B2 (en) 2011-05-31 2017-03-21 Red Hat, Inc. Triggering workload movement based on policy stack having multiple selectable inputs
US8984104B2 (en) 2011-05-31 2015-03-17 Red Hat, Inc. Self-moving operating system installation in cloud-based network
US8782192B2 (en) 2011-05-31 2014-07-15 Red Hat, Inc. Detecting resource consumption events over sliding intervals in cloud-based network
US9037723B2 (en) 2011-05-31 2015-05-19 Red Hat, Inc. Triggering workload movement based on policy stack having multiple selectable inputs
US9219669B2 (en) 2011-05-31 2015-12-22 Red Hat, Inc. Detecting resource consumption events over sliding intervals in cloud-based network
US20130054776A1 (en) * 2011-08-23 2013-02-28 Tobias Kunze Automated scaling of an application and its support components
US8706852B2 (en) * 2011-08-23 2014-04-22 Red Hat, Inc. Automated scaling of an application and its support components
US8762501B2 (en) 2011-08-29 2014-06-24 Telefonaktiebolaget L M Ericsson (Publ) Implementing a 3G packet core in a cloud computer with openflow data and control planes
US9167501B2 (en) 2011-08-29 2015-10-20 Telefonaktiebolaget L M Ericsson (Publ) Implementing a 3G packet core in a cloud computer with openflow data and control planes
US9577899B2 (en) 2011-10-25 2017-02-21 Fourthwall Media, Inc. Network bandwith regulation using traffic scheduling
WO2013063218A1 (en) * 2011-10-25 2013-05-02 Fourth Wall Media, Inc. Network bandwidth regulation using traffic scheduling
US8937866B2 (en) 2011-10-25 2015-01-20 Fourthwall Media Network bandwidth regulation using traffic scheduling
US9769238B2 (en) * 2011-11-02 2017-09-19 Akamai Technologies, Inc. Multi-domain configuration handling in an edge network server
US20130191499A1 (en) * 2011-11-02 2013-07-25 Akamai Technologies, Inc. Multi-domain configuration handling in an edge network server
US20130160129A1 (en) * 2011-12-19 2013-06-20 Verizon Patent And Licensing Inc. System security evaluation
US9473376B2 (en) * 2012-03-15 2016-10-18 Alcatel Lucent Method and server for determining home network quality
US20150036523A1 (en) * 2012-03-15 2015-02-05 Alcatel Lucent Method and server for determining home network quality
US20130258901A1 (en) * 2012-03-29 2013-10-03 Fujitsu Limited Communication interface apparatus, computer-readable recording medium for recording communication interface program, and virtual network constructing method
US9152640B2 (en) 2012-05-10 2015-10-06 Hewlett-Packard Development Company, L.P. Determining file allocation based on file operations
CN102932478A (en) * 2012-11-15 2013-02-13 北京搜狐新媒体信息技术有限公司 Cloud platform node selection method and system
US20140208214A1 (en) * 2013-01-23 2014-07-24 Gabriel D. Stern Systems and methods for monitoring, visualizing, and managing physical devices and physical device locations
CN103312823A (en) * 2013-07-09 2013-09-18 苏州市职业大学 Cloud computing system
WO2015031866A1 (en) * 2013-08-30 2015-03-05 Clearpath Networks, Inc. System and method of network functions virtualization of network services within and across clouds
US9386086B2 (en) 2013-09-11 2016-07-05 Cisco Technology Inc. Dynamic scaling for multi-tiered distributed systems using payoff optimization of application classes
US9537775B2 (en) 2013-09-23 2017-01-03 Oracle International Corporation Methods, systems, and computer readable media for diameter load and overload information and virtualization
US20150117259A1 (en) * 2013-10-30 2015-04-30 REMTCS, Inc. System and method for artificial intelligence cloud management
US9838483B2 (en) 2013-11-21 2017-12-05 Oracle International Corporation Methods, systems, and computer readable media for a network function virtualization information concentrator
CN103581340A (en) * 2013-11-25 2014-02-12 星云融创(北京)信息技术有限公司 Method and device for accessing domain name to proxy gateway
US20150365311A1 (en) * 2014-01-07 2015-12-17 International Business Machines Corporation Scalable software monitoring infrastructure, using parallel task queuing, to operate in elastic cloud environments
US20150195164A1 (en) * 2014-01-07 2015-07-09 International Business Machines Corporation Scalable software monitoring infrastructure, using parallel task queuing, to operate in elastic cloud environments
US20150215228A1 (en) * 2014-01-28 2015-07-30 Oracle International Corporation Methods, systems, and computer readable media for a cloud-based virtualization orchestrator
CN103973682A (en) * 2014-04-30 2014-08-06 北京奇虎科技有限公司 Method and device for having access to webpage
US9836339B1 (en) * 2014-09-24 2017-12-05 Amazon Technologies, Inc. Application programming interface as a service
WO2016081910A1 (en) * 2014-11-21 2016-05-26 Huawei Technologies Co., Ltd. System and method for modifying a service-specific data plane configuration
US9913151B2 (en) 2014-11-21 2018-03-06 Huawei Technologies Co., Ltd. System and method for modifying a service-specific data plane configuration
WO2016114866A1 (en) * 2015-01-13 2016-07-21 Intel IP Corporation Techniques for monitoring virtualized network functions or network functions virtualization infrastructure
US9912558B2 (en) 2015-01-13 2018-03-06 Intel IP Corporation Techniques for monitoring virtualized network functions or network functions virtualization infrastructure
US9917729B2 (en) 2015-04-21 2018-03-13 Oracle International Corporation Methods, systems, and computer readable media for multi-layer orchestration in software defined networks (SDNs)
CN105119996A (en) * 2015-09-01 2015-12-02 浪潮集团有限公司 Resource reusing method based on cloud platform

Also Published As

Publication number Publication date Type
EP2401841A4 (en) 2012-08-15 application
WO2010099513A3 (en) 2011-01-13 application
US8209415B2 (en) 2012-06-26 grant
WO2010099514A3 (en) 2011-01-06 application
EP2401841A2 (en) 2012-01-04 application
WO2010099514A2 (en) 2010-09-02 application
WO2010099513A2 (en) 2010-09-02 application
US20100223378A1 (en) 2010-09-02 application

Similar Documents

Publication Publication Date Title
US6601084B1 (en) Dynamic load balancer for multiple network servers
US6748416B2 (en) Client-side method and apparatus for improving the availability and performance of network mediated services
US8949459B1 (en) Methods and apparatus for distributed backbone internet DDOS mitigation via transit providers
Patel et al. Ananta: Cloud scale load balancing
US20140064056A1 (en) Network management apparatus, network management method, and network management system
US20110296053A1 (en) Application-layer traffic optimization service spanning multiple networks
Augustin et al. Measuring load-balanced paths in the Internet
US20020166080A1 (en) System and method for providing dynamically alterable computer clusters for message routing
US7313735B1 (en) In-line server health checking
US20130212279A1 (en) Resource Allocation Mechanism
US6397260B1 (en) Automatic load sharing for network routers
US7376154B2 (en) Non-intrusive method for routing policy discovery
Agarwal et al. OPCA: Robust interdomain policy routing and traffic control
US20110295983A1 (en) Application-layer traffic optimization service endpoint type attribute
US20080016198A1 (en) Self-managed distributed mediation networks
US20100131660A1 (en) Deterministic session load-balancing and redundancy of access servers in a computer network
US20020152307A1 (en) Methods, systems and computer program products for distribution of requests based on application layer information
US7124188B2 (en) Method and apparatus for policy based class service and adaptive service level management within the context of an internet and intranet
US20140195666A1 (en) System and method for implementing and managing virtual networks
US20120215938A1 (en) Reliable, high-throughput, high-performance transport and routing mechanism for arbitrary data flows
US20080298230A1 (en) Scheduling of workloads in a distributed compute environment
US20130329584A1 (en) Finding latency through a physical network in a virtualized network
US20030229702A1 (en) Server network controller including packet forwarding and method therefor
US7055173B1 (en) Firewall pooling in a network flowswitch
US20140036730A1 (en) Adaptive infrastructure for distributed virtual switch

Legal Events

Date Code Title Description
AS Assignment

Owner name: YOTTAA INC, MASSACHUSETTS

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:WEI, COACH;BUFFONE, ROBERT;STATA, RAYMOND;SIGNING DATES FROM 20110105 TO 20110107;REEL/FRAME:025648/0944

AS Assignment

Owner name: COMERICA BANK, MICHIGAN

Free format text: SECURITY INTEREST;ASSIGNOR:YOTTAA, INC.;REEL/FRAME:038973/0307

Effective date: 20160601