WO2016010873A1 - Dynamic update streams for real time provisioning - Google Patents

Dynamic update streams for real time provisioning Download PDF

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Publication number
WO2016010873A1
WO2016010873A1 PCT/US2015/040084 US2015040084W WO2016010873A1 WO 2016010873 A1 WO2016010873 A1 WO 2016010873A1 US 2015040084 W US2015040084 W US 2015040084W WO 2016010873 A1 WO2016010873 A1 WO 2016010873A1
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WO
WIPO (PCT)
Prior art keywords
tenant
changes
server
computer system
requesting
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.)
Ceased
Application number
PCT/US2015/040084
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English (en)
French (fr)
Inventor
Vipul Bansal
Marcus Vinicius Silva GOIS
Mark Coburn
Suraj Gaurav
Swaminathan PATTABIRAMAN
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Microsoft Technology Licensing LLC
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Microsoft Technology Licensing LLC
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
Application filed by Microsoft Technology Licensing LLC filed Critical Microsoft Technology Licensing LLC
Priority to RU2017100908A priority Critical patent/RU2017100908A/ru
Priority to EP15742470.6A priority patent/EP3170077B1/en
Priority to CN201580038686.6A priority patent/CN106537346B/zh
Priority to JP2017502609A priority patent/JP6719445B2/ja
Publication of WO2016010873A1 publication Critical patent/WO2016010873A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1095Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/51Discovery or management thereof, e.g. service location protocol [SLP] or web services
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/50Indexing scheme relating to G06F9/50
    • G06F2209/5017Task decomposition

Definitions

  • Computer systems are currently in wide use. Some computer systems are local computer systems, while others are used in a remote server environment.
  • some organizations have a hybrid implementation.
  • some of the services are performed by local, on-premise, components of the computer system, while other services are performed in the remote server or cloud- based environment.
  • cloud-based or remote server implementations are also multi-tenant systems. That is, they provide some level of service for multiple different tenants, who are often multiple different organizations. When one tenant makes a large number of changes, this can negatively affect the performance experienced by the other tenants.
  • Tenant changes are received at a multi-tenant service.
  • the tenant changes are segmented, by tenant, and individual update streams are established with individual tenant stream processors.
  • Each tenant stream processor makes changes for a given tenant, until the changes for that tenant are completed.
  • Figure 1 is a block diagram of one example of a cloud-based, multi-tenant service architecture.
  • Figure 2 is a block diagram showing one example of a notification stream generator in more detail.
  • Figure 3 is a flow diagram illustrating one example of the operation of the architecture shown in Figure 1.
  • Figure 4 is a block diagram illustrating different levels of multi-tenancy in one example of a multi-tenant cloud architecture.
  • Figures 5-7 show examples of mobile devices.
  • Figure 8 is a block diagram of one example of a computing environment.
  • FIG. 1 is a block diagram of one example of a cloud-based multi-tenant service architecture 100.
  • Architecture 100 includes cloud-based multi-tenant service system 102 that is accessible by a plurality of different tenant systems 104-106.
  • cloud-based multi-tenant service system 102 provides some level of multi-tenant services to tenants that use tenant systems 104-106.
  • the tenants are illustratively separate organizations so that the multi-tenant services provided by system 102 are separated or isolated per tenant, at the desired level.
  • the multi-tenant services can be provided at the infrastructure level, at the application platform level, or at the application software level, among others.
  • the information corresponding to a particular client will be separated at that level, and isolated so it cannot be accessed by other tenants.
  • system 102 provides infrastructure as a service (IaaS)
  • infrastructure components of system 102 are shared by tenants 104-106, but the tenant information is kept separate otherwise.
  • system 102 provides a platform as a service (PaaS)
  • PaaS platform as a service
  • system 102 provides application software as a service (SaaS)
  • SaaS application software as a service
  • a common application is run by system 102, to service tenants 104-106.
  • system 102 provides some level of multi-tenancy, the information corresponding to the different tenants 104-106 is kept separate. This is described in greater detail below with respect to Figure 4.
  • system 102 shown in Figure 1 includes notification stream generator 108, per-tenant processing system 110 which, itself, includes tenant stream processors 112-114, tenant-level separated resources 116 and a variety of other cloud implementation components 124 discussed in more detail below with respect to Figure 4.
  • tenant-level separated resources include tenant data 118-120, which represents the information corresponding to each tenant system 104-106, respectively, that is kept separate from, and inaccessible by the other tenants.
  • Tenant systems 104-106 illustratively provide changes to cloud-based multi- tenant service system 102.
  • tenant system 104 may be migrating its electronic mail service from an on-premise implementation to a cloud-based implementation in system 102.
  • tenant system 104 provides changes to migrate its entire electronic mail system from the on-premise version to system 102.
  • tenant system 106 may have acquired another organization and therefore may need to add a large number of electronic mail accounts to its cloud-based implementation in system 102.
  • the organization that uses tenant system 104 may have reorganized. Therefore, it may need to change a large number of employee records to show that they are no longer part of the human resources department, but are now part of the marketing department.
  • the changes to the cloud-based implementation for the tenants may be relatively large in number.
  • system 102 processes these changes in a way that they will not affect the performance of system 102 in servicing the other tenants.
  • tenant changes indicate requested changes to the tenant data 118-120 corresponding to the requesting tenant.
  • Notification stream generator 108 creates per-tenant synchronization streams with per- tenant processing system 110. In one example, it groups the changes received by tenants 104-106 into per-tenant segments. It then hands a bookmark corresponding to a given segment to one of tenant stream processors 112-114.
  • Tenant stream processors 112-114 are illustratively different servers, or at least different server instances.
  • the tenant stream processor that received the bookmark then maintains a communication link (the synchronization stream) with notification stream generator 108 and obtains and makes the tenant changes, over the synchronization stream and using the bookmark where needed, to the corresponding tenant data.
  • the same tenant stream processor 112 continues making changes for the same tenant, until those tenant changes are drained from notification stream generator 108. It then indicates to notification stream generator 108 that is has completed making the changes. If, while the tenant stream processor is making changes for the given tenant, a second tenant provides change requests to notification stream generator 108, generator 108 establishes another synchronization stream with a second tenant stream processor in system 110.
  • the second stream processor 110 continues to make changes for the second tenant, until those changes have been drained.
  • FIG. 2 is a block diagram of one example of notification stream generator 108 in more detail.
  • Generator 108 illustratively includes change segmentation component 180, pending change store 182, and it can include other items 184 as well.
  • Figure 3 also shows that generator 108 illustratively receives tenant changes 186 from tenants 104-106 and segments them into segments 188-190.
  • Each segment 188-190 represents the changes for a different tenant 104-106.
  • Figure 3 also shows that change segmentation component 180, once it has segmented the tenant changes 106, sends bookmarks 192-194, corresponding to the different segments 188-190, to different tenant stream processors 112-114.
  • the tenant stream processors 112-114 obtain the changes from store 182 and then make the changes to corresponding tenant data 118-120, for the corresponding tenant.
  • the tenant stream processors 112-114 use bookmarks 192-194 to ensure that the tenant changes in the corresponding segments 188-190 are all made.
  • each tenant stream processor 112-114 has a synchronization stream to obtain a set of changes for one tenant, exclusively, and receives the changes for that tenant only, over the synchronization stream, and makes all the changes for the same tenant until all the changes for that tenant are drained from the corresponding segment. It then returns the bookmark to change segmentation component 180 indicating that the tenant stream processor is free to make changes for a different tenant.
  • FIG 3 is a flow diagram illustrating one example of the operation of notification stream generator 108 and cloud-based multi-tenant service system 102, in making the tenant changes 186 to the tenant data in the cloud-based system 102.
  • Change segmentation component 180 first receives tenant changes 186 from one or more tenant systems 104-106. This is indicated by block 200 in Figure 4.
  • Component 180 then segments the changes 186 into different segments 188-190.
  • Segments 188-190 are illustratively per-tenant segments so that each segment 188-190 contains all of the tenant changes submitted by the same tenant, and those changes only. Segmenting the pending changes on a per-tenant basis is indicated by block 202 in Figure 4.
  • Change segmentation component 180 then assigns a tenant stream processor 112-114 to each of the segments so that the same processor can process all of the changes for a given tenant.
  • each tenant stream processor 112 is a separate server, or at least a separate instance of a server.
  • each tenant has a dedicated server or server instance to make its requested changes.
  • change segmentation component 180 assigns a tenant stream processor 112-114 to each tenant by sending it a corresponding bookmark 192-194, that corresponds to a segment 188-190.
  • Sending the bookmark is indicated by block 204 in Figure 4.
  • tenant workloads will be allocated among various tenant stream processors 112-114, but there may not necessarily be a one-to-one correspondence between a tenant and a server (or tenant stream processor). Allocating the tenants among the tenant stream processors is indicated by block 206 in Figure 4.
  • tenant stream (along which the tenant stream processor receives and makes the tenant changes, for one tenant, exclusively) per server instance). This is indicated by block 208. The stream is maintained until all changes in the segment are made.
  • Notifying the tenant stream processor of tenant changes that need to be made can be done in a variety of different ways. For instance, if the changes correspond to a new segment in pending change store 182, then component 180 sends a new bookmark, corresponding to the new segment, to a tenant stream processor that is waiting to make changes (e.g., one that is not already assigned to another tenant or tenant stream). This is indicated by block 210. Of course, change segmentation component 180 can notify the tenant stream processors of pending changes in other ways as well, and this is indicated by block 212.
  • a tenant stream processor e.g., processor 112
  • the tenant stream processor 112 illustratively maintains a connection with notification stream generator 108 until all changes from segment 188 have been obtained and made. This can be done using hypertext transfer protocol (HTTP) long polling, or by using another constant connection mechanism. Maintaining the connection is indicated by block 216.
  • the tenant stream processor 112 processes all of the tenant changes for a given tenant until the changes are drained from the corresponding segment, and the bookmark is released by the tenant stream processor 112. This is indicated by block 218 in Figure 4.
  • the tenant stream processors can pull the changes and make them in other ways as well, and this indicated by block 220.
  • each tenant stream processor corresponds to a server instance, it is the server instance, itself, that enforces the bandwidth constraints on the tenant changes. For instance, the server instance, itself, enforces constraints on CPU usage, memory usage, bandwidth usage, etc. Since each tenant 104-106 has its own server instance for making changes, no tenant 104-106 can exceed the usage constraints imposed by its corresponding server instance (e.g., its assigned tenant stream processor). This is indicated by block 224 in Figure 4. In this way, no particular tenant 104-106 can overwhelm the functionality of the cloud implementation, to the detriment of other tenants.
  • tenant stream processor (or server instance) is not, at the same time, attempting to process changes from other tenants (it is processing changes for exclusively one tenant at a time), the workload of any given tenant 104-106 does not affect the performance provided to other tenants of the cloud-based implementation. Instead, each tenant receives the same treatment, in terms of performance, because each tenant has its own server instance (or tenant stream processor) making its changes. It will be noted that the tenant stream processors can execute the changes for tenants in other ways as well, and this is indicated by block 226.
  • Each tenant stream processor 112-114 determines whether there are any more changes for this tenant in the corresponding segment. This is indicated by block 228 in Figure 4. If so, processing reverts to block 214 where the tenant stream processor pulls those changes from the corresponding segment and commits them to the tenant data.
  • the tenant stream processor indicates to notification stream generator 108 that it has completed its tenant changes and waits for another notification to commit changes for the same or a different tenant.
  • the tenant stream processor 112-114 can do this by releasing or returning the bookmark to notification stream generator 108. This is indicated by block 230 in the flow diagram of Figure 4.
  • notification stream generator 108 can generate a synchronization stream (or tenant stream) on a per-tenant basis. It provides a way for scaling out on-boarding activities (such as adding new users to the cloud-based system) and other activities.
  • the system can scale to meet the needs of a great many tenants because that is limited only by the number of servers or server instances that can process separate tenant streams.
  • the streams are executed independently by different servers or server instances, so additional servers or server instances can be invoked, as needed for additional tenant streams. This allows the on-boarding activities for different tenants to be spread across different machines.
  • the notification stream generator 108 enables the system to scale dynamically by only notifying tenant stream processors when a tenant has changes. At any given point in time, this is normally a small set of tenants in comparison to the entire set of tenants that access the cloud-based system. This reduces overall latency because each tenant stream processor processes changes as they are received and made available. Also, it promotes automatic scaling, because as soon as any new servers or server instances go online, they can be used by the notification stream generator 108 to make tenant changes. This amounts to a large number of individual, per-tenant, data pipes instead of one fat pipe where a single tenant can overwhelm the system causing other tenants to experience reduced performance. No single server or server instance acts as a bottleneck or point of failure. In addition, notification stream generator 108 notifies the tenant stream processors 112-114 that changes are to be made, without enumerating every single object change. Instead, it groups the changes into segments on a per-tenant basis. This also improves performance.
  • processors and servers include computer processors with associated memory and timing circuitry, not separately shown. They are functional parts of the systems or devices to which they belong and are activated by, and facilitate the functionality of the other components or items in those systems.
  • the user actuatable input mechanisms can be text boxes, check boxes, icons, links, drop-down menus, search boxes, etc. They can also be actuated in a wide variety of different ways. For instance, they can be actuated using a point and click device (such as a track ball or mouse). They can be actuated using hardware buttons, switches, a joystick or keyboard, thumb switches or thumb pads, etc. They can also be actuated using a virtual keyboard or other virtual actuators. In addition, where the screen on which they are displayed is a touch sensitive screen, they can be actuated using touch gestures. Also, where the device that displays them has speech recognition components, they can be actuated using speech commands.
  • the figures show a number of blocks with functionality ascribed to each block. It will be noted that fewer blocks can be used so the functionality is performed by fewer components. Also, more blocks can be used with the functionality distributed among more components.
  • Figure 4 is a block diagram showing a more detailed embodiment of a multi- tenant cloud architecture 124 (cloud 124) in which system 102 can be implemented.
  • Figure 4 shows one example of the other cloud implementation components 122 (shown in Figure 1) in more detail.
  • Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location or configuration of the system that delivers the services.
  • cloud computing delivers the services over a wide area network, such as the internet, using appropriate protocols.
  • cloud computing providers deliver applications over a wide area network and they can be accessed through a web browser or any other computing component.
  • Software or components of architecture 100 as well as the corresponding data, can be stored on servers at a remote location.
  • the computing resources in a cloud computing environment can be consolidated at a remote data center location or they can be dispersed.
  • Cloud computing infrastructures can deliver services through shared data centers, even though they appear as a single point of access for the user.
  • the components and functions described herein can be provided from a service provider at a remote location using a cloud computing architecture.
  • they can be provided from a conventional server, or they can be installed on client devices directly, or in other ways.
  • Cloud computing both public and private provides substantially seamless pooling of resources, as well as a reduced need to manage and configure underlying hardware infrastructure.
  • a public cloud is managed by a vendor and typically supports multiple consumers using the same infrastructure. Also, a public cloud, as opposed to a private cloud, can free up the end users from managing the hardware.
  • a private cloud may be managed by the organization itself and the infrastructure is typically not shared with other organizations. The organization still maintains the hardware to some extent, such as installations and repairs, etc.
  • FIG. 4 shows that components 122 in system 102 illustratively include virtualization system 126, infrastructure components 128, application platform components 130, and application software components 132.
  • Infrastructure components 128 can include security components 134, hardware/software infrastructure 136, servers 138, load balancing components 140, network components 142, and it can include other components 144 as well.
  • Application platform components 130 can include execution runtime components 146, operating system components 148, database components 150, web server components 152, and it can include other components 154 as well.
  • Application software components 132 illustratively include user interface components 156, application workflows 158, application logic 160, database systems 162, and it can include other items 164.
  • virtualization system 126 will electronically separate the physical computing device components 122 into one or more virtual devices. Each of these devices can be used and managed to perform computing tasks.
  • Multi-tenant cloud computing architecture 124 can provide services at a number of different levels, according to a number of different models. They can include, for instance, infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS), among others. IaaS is the most basic and each of the higher level models (PaaS and SaaS, respectively) abstract from the details of the lower models.
  • IaaS infrastructure as a service
  • PaaS platform as a service
  • SaaS software as a service
  • IaaS physical or virtual machines are provided, along with other resources.
  • a supervisory component (sometimes referred to as a hypervisor) runs the virtual machines. Multiple different hypervisors can be used to run a relatively large number of virtual machines and to scale up and down according to the needs of various tenants.
  • the IaaS model can also offer additional resources (such as other infrastructure components 128) on-demand.
  • additional resources such as other infrastructure components 128) on-demand.
  • a tenant In order for a tenant to deploy their applications, they install operating system images as well as their application software on the cloud infrastructure components 128. The tenant is then responsible for maintaining the operating systems and application software.
  • PaaS involves the cloud architecture 124 providing the application platform components 130 as a service.
  • Application developers can develop and run their software on the cloud platform components 130 without needing to manage the underlying hardware and software layers.
  • SaaS involves architecture 124 providing access to application software and databases in application components 132.
  • the cloud architecture 124 manages the infrastructure components 128 and the platform components 130 that run the applications.
  • the cloud 124 also installs and operates the application software in application components 132 and tenants access the software but do not manage the cloud infrastructure components 128 or platform components 130 where the application runs.
  • virtualization system 126 provides multiple virtual machines at runtime to meet changing workloads. Load balancers distribute the work over the virtual machines. This process is often transparent to the tenant who sees only a single access point to the application.
  • any machine can serve more than one user organization that deploys a tenant system 104-106.
  • Multi-tenancy can apply to all three layers of cloud architecture (IaaS, PaaS and SaaS).
  • the exact degree of multi- tenancy may be based on how much of the core application (or application components 132) is designed to be shared across tenants 104-106.
  • a relatively high degree of multi- tenancy allows the database schema to be shared and supports customization of the business logic, workflow and user interface layers.
  • the IaaS and PaaS components 128 and 130 are shared by the application components 132 that have dedicated virtualized components that are dedicated to each tenant.
  • each tenant 104-106 can make changes to their own application (such as their own electronic mail application, document management system, business system, etc.). When done as described above with respect to Figures 1-3, they can do so without affecting the performance observed by other tenants.
  • the databases and data stores can be disposed outside of cloud 124, and accessed through cloud 124.
  • other components can be outside of cloud 124. Regardless of where they are located, they can be accessed directly by devices in tenant systems 104-106, through a network 300 (either a wide area network or a local area network), they can be hosted at a remote site by a service, or they can be provided as a service through a cloud or accessed by a connection service that resides in the cloud. All of these architectures are contemplated herein.
  • architecture 100 can be disposed on a wide variety of different devices. Some of those devices include servers, desktop computers, laptop computers, tablet computers, or other mobile devices, such as palm top computers, cell phones, smart phones, multimedia players, personal digital assistants, etc.
  • Figure 5 is a simplified block diagram of one example of a handheld or mobile computing device that can be used as a user's or client's hand held device 16, in which the present system (or parts of it) can be deployed.
  • Figures 6-7 are examples of handheld or mobile devices.
  • Figure 5 provides a general block diagram of the components of a client device 16 that can run components of system 100 or tenants 104-106 or that interacts with architecture 100, or both.
  • a communications link 13 is provided that allows the handheld device to communicate with other computing devices and under some embodiments provides a channel for receiving information automatically, such as by scanning.
  • Examples of communications link 13 include an infrared port, a serial/USB port, a cable network port such as an Ethernet port, and a wireless network port allowing communication though one or more communication protocols including General Packet Radio Service (GPRS), LTE, HSPA, HSPA+ and other 3G and 4G radio protocols, lXrtt, and Short Message Service, which are wireless services used to provide cellular access to a network, as well as Wi-Fi protocols, and Bluetooth protocol, which provide local wireless connections to networks.
  • GPRS General Packet Radio Service
  • LTE Long Term Evolution
  • HSPA High Speed Packet Access
  • HSPA+ High Speed Packet Access Plus
  • 3G and 4G radio protocols 3G and 4G radio protocols
  • lXrtt Long Term Evolution
  • Short Message Service Short Message Service
  • SD card interface 15 and communication links 13 communicate with a processor 17 (which can also embody processors or servers described above in the other Figures) along a bus 19 that is also connected to memory 21 and input/output (I/O) components 23, as well as clock 25 and location system 27.
  • I/O components 23, in one embodiment, are provided to facilitate input and output operations.
  • I/O components 23 for various embodiments of the device 16 can include input components such as buttons, touch sensors, multi-touch sensors, optical or video sensors, voice sensors, touch screens, proximity sensors, microphones, tilt sensors, and gravity switches and output components such as a display device, a speaker, and or a printer port.
  • Other I/O components 23 can be used as well.
  • Clock 25 illustratively comprises a real time clock component that outputs a time and date. It can also, illustratively, provide timing functions for processor 17.
  • Location system 27 illustratively includes a component that outputs a current geographical location of device 16. This can include, for instance, a global positioning system (GPS) receiver, a LORAN system, a dead reckoning system, a cellular triangulation system, or other positioning system. It can also include, for example, mapping software or navigation software that generates desired maps, navigation routes and other geographic functions.
  • GPS global positioning system
  • Memory 21 stores operating system 29, network settings 31, applications 33, application configuration settings 35, data store 37, communication drivers 39, and communication configuration settings 41.
  • Memory 21 can include all types of tangible volatile and non-volatile computer-readable memory devices. It can also include computer storage media (described below).
  • Memory 21 stores computer readable instructions that, when executed by processor 17, cause the processor to perform computer-implemented steps or functions according to the instructions.
  • device 16 can have a client business system 24 which can run various business applications or embody parts or all of tenant systems 104-106. Processor 17 can be activated by other components to facilitate their functionality as well.
  • Examples of the network settings 31 include things such as proxy information, Internet connection information, and mappings.
  • Application configuration settings 35 include settings that tailor the application for a specific enterprise or user.
  • Communication configuration settings 41 provide parameters for communicating with other computers and include items such as GPRS parameters, SMS parameters, connection user names and passwords.
  • Applications 33 can be applications that have previously been stored on the device 16 or applications that are installed during use, although these can be part of operating system 29, or hosted external to device 16, as well.
  • Figure 6 shows one example in which device 16 is a tablet computer 600.
  • computer 600 is shown with user interface display screen 602.
  • Screen 602 can be a touch screen (so touch gestures from a user's finger can be used to interact with the application) or a pen-enabled interface that receives inputs from a pen or stylus. It can also use an on-screen virtual keyboard. Of course, it might also be attached to a keyboard or other user input device through a suitable attachment mechanism, such as a wireless link or USB port, for instance.
  • Computer 600 can also illustratively receive voice inputs as well.
  • Additional examples of devices 16 can be used as well. They can include, a feature phone, smart phone or mobile phone.
  • the phone can include a set of keypads for dialing phone numbers, a display capable of displaying images including application images, icons, web pages, photographs, and video, and control buttons for selecting items shown on the display.
  • the phone can include an antenna for receiving cellular phone signals such as General Packet Radio Service (GPRS) and lXrtt, and Short Message Service (SMS) signals.
  • GPRS General Packet Radio Service
  • lXrtt Long Message Service
  • SMS Short Message Service
  • the phone also includes a Secure Digital (SD) card slot that accepts a SD card.
  • SD Secure Digital
  • the mobile device can also be a personal digital assistant (PDA) or a multimedia player or a tablet computing device, etc. (hereinafter referred to as a PDA).
  • PDA personal digital assistant
  • the PDA can include an inductive screen that senses the position of a stylus (or other pointers, such as a user's finger) when the stylus is positioned over the screen. This allows the user to select, highlight, and move items on the screen as well as draw and write.
  • the PDA can also include a number of user input keys or buttons which allow the user to scroll through menu options or other display options which are displayed on the display, and allow the user to change applications or select user input functions, without contacting the display.
  • the PDA can include an internal antenna and an infrared transmitter/receiver that allow for wireless communication with other computers as well as connection ports that allow for hardware connections to other computing devices.
  • Such hardware connections are typically made through a cradle that connects to the other computer through a serial or USB port. As such, these connections are non-network connections.
  • FIG. 7 shows a smart phone 71.
  • Smart phone 71 has a touch sensitive display 73 that displays icons or tiles or other user input mechanisms 75. Mechanisms 75 can be used by a user to run applications, make calls, perform data transfer operations, etc.
  • smart phone 71 is built on a mobile operating system and offers more advanced computing capability and connectivity than a feature phone.
  • Figure 8 is one example of a computing environment in which architecture 100, or parts of it, (for example) can be deployed.
  • an example system for implementing some embodiments includes a general-purpose computing device in the form of a computer 810.
  • Components of computer 810 may include, but are not limited to, a processing unit 820 (which can comprise processors or servers discussed above), a system memory 830, and a system bus 821 that couples various system components including the system memory to the processing unit 820.
  • the system bus 821 may be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus using any of a variety of bus architectures.
  • such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus also known as Mezzanine bus.
  • ISA Industry Standard Architecture
  • MCA Micro Channel Architecture
  • EISA Enhanced ISA
  • VESA Video Electronics Standards Association
  • PCI Peripheral Component Interconnect
  • Computer 810 typically includes a variety of computer readable media.
  • Computer readable media can be any available media that can be accessed by computer 810 and includes both volatile and nonvolatile media, removable and non-removable media.
  • Computer readable media may comprise computer storage media and communication media.
  • Computer storage media is different from, and does not include, a modulated data signal or carrier wave. It includes hardware storage media including both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by computer 810.
  • Communication media typically embodies computer readable instructions, data structures, program modules or other data in a transport mechanism and includes any information delivery media.
  • modulated data signal means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • communication media includes wired media such as a wired network or direct- wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of any of the above should also be included within the scope of computer readable media.
  • the system memory 830 includes computer storage media in the form of volatile and/or nonvolatile memory such as read only memory (ROM) 831 and random access memory (RAM) 832.
  • ROM read only memory
  • RAM random access memory
  • BIOS basic input/output system 833
  • RAM 832 typically contains data and/or program modules that are immediately accessible to and/or presently being operated on by processing unit 820.
  • Figure 8 illustrates operating system 834, application programs 835, other program modules 836, and program data 837.
  • the computer 810 may also include other removable/non-removable volatile/nonvolatile computer storage media.
  • Figure 8 illustrates a hard disk drive 841 that reads from or writes to non-removable, nonvolatile magnetic media, and an optical disk drive 855 that reads from or writes to a removable, nonvolatile optical disk 856 such as a CD ROM or other optical media.
  • Other removable/non- removable, volatile/nonvolatile computer storage media that can be used in the exemplary operating environment include, but are not limited to, magnetic tape cassettes, flash memory cards, digital versatile disks, digital video tape, solid state RAM, solid state ROM, and the like.
  • the hard disk drive 841 is typically connected to the system bus 821 through a non-removable memory interface such as interface 840, and optical disk drive 855 are typically connected to the system bus 821 by a removable memory interface, such as interface 850.
  • the functionality described herein can be performed, at least in part, by one or more hardware logic components.
  • illustrative types of hardware logic components include Field-programmable Gate Arrays (FPGAs), Program-specific Integrated Circuits (ASICs), Program-specific Standard Products (ASSPs), System-on-a-chip systems (SOCs), Complex Programmable Logic Devices (CPLDs), etc.
  • the drives and their associated computer storage media discussed above and illustrated in Figure 8, provide storage of computer readable instructions, data structures, program modules and other data for the computer 810.
  • hard disk drive 841 is illustrated as storing operating system 844, application programs 845, other program modules 846, and program data 847. Note that these components can either be the same as or different from operating system 834, application programs 835, other program modules 836, and program data 837.
  • Operating system 844, application programs 845, other program modules 846, and program data 847 are given different numbers here to illustrate that, at a minimum, they are different copies.
  • a user may enter commands and information into the computer 810 through input devices such as a keyboard 862, a microphone 863, and a pointing device 861, such as a mouse, trackball or touch pad.
  • Other input devices may include a joystick, game pad, satellite dish, scanner, or the like.
  • These and other input devices are often connected to the processing unit 820 through a user input interface 860 that is coupled to the system bus, but may be connected by other interface and bus structures, such as a parallel port, game port or a universal serial bus (USB).
  • a visual display 891 or other type of display device is also connected to the system bus 821 via an interface, such as a video interface 890.
  • computers may also include other peripheral output devices such as speakers 897 and printer 896, which may be connected through an output peripheral interface 895.
  • the computer 810 is operated in a networked environment using logical connections to one or more remote computers, such as a remote computer 880.
  • the remote computer 880 may be a personal computer, a hand-held device, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above relative to the computer 810.
  • the logical connections depicted in Figure 8 include a local area network (LAN) 871 and a wide area network (WAN) 873, but may also include other networks.
  • LAN local area network
  • WAN wide area network
  • Such networking environments are commonplace in offices, enterprise-wide computer networks, intranets and the Internet.
  • the computer 810 When used in a LAN networking environment, the computer 810 is connected to the LAN 871 through a network interface or adapter 870. When used in a WAN networking environment, the computer 810 typically includes a modem 872 or other means for establishing communications over the WAN 873, such as the Internet.
  • the modem 872 which may be internal or external, may be connected to the system bus 821 via the user input interface 860, or other appropriate mechanism.
  • program modules depicted relative to the computer 810, or portions thereof may be stored in the remote memory storage device.
  • Figure 8 illustrates remote application programs 885 as residing on remote computer 880. It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers may be used.
  • Example 1 is a computer system, comprising:
  • a plurality of server instances in a multi-tenant system, the server instances servicing a plurality of different tenants, each tenant corresponding to a different organization and having corresponding tenant data, serve r instances in the multi-tenant system isolating the tenant data corresponding to each tenant from other tenants;
  • a notification stream generator that receives a set of change requests from each of a plurality of different requesting tenants, each set of change requests being indicative of changes to the tenant data corresponding to the requesting tenant, the notification stream generator notifying a different server instance for each of the sets of change requests received from the requesting tenants, each notified server instance maintaining a connection with the notification stream generator until the notified server instance has performed all changes in the set of change requests for which it was notified and, thereafter, releasing the connection.
  • Example 2 is the computer system of any or all previous examples wherein the multi-tenant system is a cloud-based system.
  • Example 3 is the computer system of any or all previous examples wherein the notification stream generator comprises:
  • a change segmentation component that segments the sets of change requests into per-tenant segments.
  • Example 4 is the computer system of any or all previous examples wherein the notification stream generator comprises:
  • a pending change store the change segmentation component segmenting the sets of change requests into the per-tenant segments in the pending change store.
  • Example 5 is the computer system of any or all previous examples wherein each of the notified server instances maintains the connection with the notification stream generator and pulls the changes from a given per-tenant segment, corresponding to the set of change requests for which it was notified, until all changes from the given per-tenant segment have been pulled.
  • Example 6 is the computer system of any or all previous examples wherein the notification stream generator notifies each given server instance by providing the given server instance with a bookmark corresponding to a per-tenant segment in the pending change store.
  • Example 7 is the computer system of any or all previous examples wherein the given server instance enforces resource usage constraints, in pulling and making the change requests, on an individual server instance basis.
  • Example 8 is the computer system of any or all previous examples wherein, for each additional set of change requests received from an additional requesting tenant, the notification stream generator notifies an additional server instance to process the additional set of change requests.
  • Example 9 is the computer system of any or all previous examples wherein each of the server instances comprises:
  • Example 10 is a computer system, comprising:
  • a multi-tenant system that serves a plurality of different tenants and maintains separate, isolated tenant data for each of the different tenants, the multi-tenant system comprising:
  • a notification stream generator that receives sets of tenant changes from corresponding, requesting tenants and assigns a server, of the plurality of different servers, to each requesting tenant to process the corresponding set of tenant changes, the server processing all tenant changes in the set of tenant changes for the corresponding tenant to which the server is assigned before the notification stream generator assigns the server to process tenant changes for another tenant.
  • Example 11 is the computer system of any or all previous examples wherein the plurality of different servers comprise a plurality of different server instances.
  • Example 12 is the computer system of any or all previous examples wherein the notification stream generator comprises:
  • Example 13 is the computer system of any or all previous examples wherein the server assigned to the requesting tenant pulls the tenant changes form the segment corresponding to the requesting tenant and makes the tenant changes in the tenant data corresponding to the requesting tenant, and notifies the notification stream generator when all the tenant changes from the segment have been made to the tenant data corresponding to the requesting tenant.
  • Example 14 is the computer system of any or all previous examples and further comprising:
  • a pending change store that stores the sets of tenant changes.
  • Example 15 is the computer system of any or all previous examples wherein the change segmentation component segments the sets of tenant changes in the pending change store.
  • Example 16 is the computer system of any or all previous examples wherein the multi-tenant system is implemented in a cloud computing architecture.
  • Example 17 is a method, comprising:
  • Example 18 is the method of any or all previous examples and further comprising: [00109] storing, with a notification stream generator, the first set of tenant changes in a first segment in a pending changes data store, the first segment containing tenant changes for only the first tenant; and
  • Example 19 is the method of any or all previous examples wherein establishing the first exclusive synchronization stream comprises:
  • Example 20 is the method of any or all previous examples wherein establishing the second exclusive synchronization stream comprises:

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PCT/US2015/040084 2014-07-16 2015-07-13 Dynamic update streams for real time provisioning Ceased WO2016010873A1 (en)

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RU2017100908A RU2017100908A (ru) 2014-07-16 2015-07-13 Динамически обновляемые потоки для наполнения данными в реальном времени
EP15742470.6A EP3170077B1 (en) 2014-07-16 2015-07-13 Dynamic update streams for real time provisioning
CN201580038686.6A CN106537346B (zh) 2014-07-16 2015-07-13 针对实时供应的动态更新流
JP2017502609A JP6719445B2 (ja) 2014-07-16 2015-07-13 リアル・タイム・プロビジョニングのための動的更新ストリーム

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JP2017531844A (ja) 2017-10-26
US20160021182A1 (en) 2016-01-21
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US9438673B2 (en) 2016-09-06
CN106537346B (zh) 2020-02-21

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