Resource management platform

• US 9,274,847 B2
• Filed: 05/04/2007
• Issued: 03/01/2016
• Est. Priority Date: 05/04/2007
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Sood, Vishal
• Primary Examiner(s): Piente, Emerson
• Assistant Examiner(s): Kamran, Mehran
• Application Number:
  US11/744,663
• Publication Number:
  US 20080276243A1
• Time in Patent Office: 3,224 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 2209/508 Monitor
• CPC Class Codes: G06F 9/5005 to service a request
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources

Abstract

In client-server architectures, systems and methods for implementing an extensible resource management platform at a server are described. The extensible resource management platform is developed based on a plug-in based architecture which includes one or more subsystems for performing functions associated with resource management. Different implementations can be provided by new or different components or plug-ins. The resource management platform is thus a platform over which one or more functionalities can be further added to supplement existing and varying functions.

Claims

1. A computing system comprising:

one or more processors;

memory; and

one or more programming modules stored on the memory and executable by the one or more processors to;

execute one or more application instances on behalf of one or more users;

implement a policy store that stores one or more policies for managing allocation of resources;

implement a configuration store that registers and initializes one or more plug-ins with parameters stored in the configuration store;

implement a process engine configured to interact with a condition plug-in of the one or more plug-ins to implement a condition engine that determines memory allocation for at least one of the one or more application instances in response to a number of users accessing the computing system exceeding a predefined threshold, the condition plug-in indicating the predefined threshold;

receive results of the memory allocation determined by the condition engine; and

allocate memory resources to the one or more application instances based at least in part in response to the results.

2. The computing system of claim 1, wherein the one or more programming modules are further executable by the one or more processors to cause the computing system to perform related processing from the condition plug-in.

3. The computing system of claim 1, wherein the condition engine receives specific information describing the predefined threshold from the condition plug-in.

4. The computing system of claim 1, wherein the process engine is further configured to interact with a calendar plug-in to implement an event engine configured to perform one or more event-driven resource allocation tasks.

5. The computing system of claim 1, wherein the one or more programming modules are further executable by the one or more processors to cause the computing system to implement an accounting engine configured to interact with an accounting plug-in that defines one or more other parameters for accounting of use of the one or more application instances by the one or more users.

6. The computing system of claim 5, wherein the one or more other parameters for accounting include one or more of information as to a database for which use is to be accounted for, or an indication of at least one of the one or more users for which an accounting record is to be prepared.

7. The computing system of claim 1, wherein the one or more programming modules are further executable by the one or more processors to cause the computing system to provide a mechanism for allowing installation of additional plug-ins and uninstallation of previously installed plug-ins.

8. The computing system of claim 5, wherein the one or more other parameters for accounting include one or more of information as to a rate to be used to determine a cost incurred for the use of the one or more application instances.

9. The computing system of claim 1, wherein the one or more policies defines at least one of the one or more users that are allowed unrestricted allocation of resources.

10. The computing system of claim 1, wherein the process engine is further configured to perform an update to one of the one or more policies within the policy store in response to an addition of resources to the system resources, the one or more programming modules further executable by the one or more processors to allocate memory resources to the one or more application instances further based at least in part on the one of the one or more policies.

11. A server comprising:

memory;

one or more processors operatively coupled to the memory; and

a plurality of programming instructions stored in the memory, wherein the plurality of programming instructions are configured to cause the one or more processors to implement;

one or more application instances hosted on behalf of one or more user devices;

a first process engine configured to interact with a plug-in to implement an event engine that performs an update of a policy within a policy store in response to an addition of resources to a plurality of computing system resources specified by the plug-in, the policy providing computing system resource allocation for the one or more application instances;

an operating system kernel configured to receive results of the update of the policy within the policy store and to allocate portions of the plurality of computing system resources to the one or more application instances based on the results; and

a second process engine configured to interact with an accounting plug-in to implement an accounting engine configured to interactively perform accounting operations for a user, the accounting plug-in including parameters for accounting including specifics regarding accessing the one or more application instances by the user.

12. The server of claim 11, wherein the first process engine is further configured to abstract information from a request for one of the one or more application instances on the server to generate abstracted information, the abstracted information including one or more time-based events.

13. The server of claim 12, wherein the first process engine is further configured to forward the abstracted information to the plug-in.

14. The server of claim 11, wherein the first process engine is further configured to interact with a cluster event plug-in to implement the event engine, the event engine further performing a change in state of a system receiving a cluster event defined by the cluster event plug-in.

15. The server of claim 11, further comprising data stored on the memory that includes one or more of core data and plug-in data.

16. The server of claim 11, wherein the event engine also performs one or more tasks on regular intervals, the one or more tasks and the regular intervals specified by the plug-in.

17. A method comprising:

executing, by a computing system, one or more application instances on behalf of one or more users;

implementing a policy store that stores one or more policies for managing allocation of computing system resources;

implementing a configuration store that registers and initializes one or more plug-ins with parameters stored in the configuration store;

implementing a process engine configured to interact with a condition plug-in of the one or more plug-ins to implement a condition engine that determines memory allocation for at least one of the one or more application instances in response to a number of users accessing the computing system exceeding a predefined threshold, the condition plug-in indicating the predefined threshold;

receiving results of the memory allocation determined by the condition engine; and

allocating memory resources to the one or more application instances based at least in part in response to the results.

18. The method of claim 17, further comprising interacting with another plug-in to implement an event engine configured to perform one or more event-driven resource allocation tasks.

19. The method of claim 17, further comprising performing an update to one of the one or more policies within the policy store in response to an addition of resources to the computing system resources, the allocating memory resources to the one or more application instances further based at least in part on the one of the one or more policies.

20. The method of claim 17, wherein the one or more policies defines at least one of the one or more users that are allowed unrestricted allocation of resources.