System and method for enforcing future policies in a compute environment

• US 9,298,514 B2
• Filed: 06/11/2013
• Issued: 03/29/2016
• Est. Priority Date: 03/11/2005
• Status: Active Grant

• Current Assignee: III Holdings 12, LLC (Intellectual Ventures LLC)
• Original Assignee: Adaptive Computing Enterprises, Inc. (Ala Services LLC)
• Inventors: Jackson, David Brian
• Primary Examiner(s): Wai, Eric C
• Application Number:
  US13/914,865
• Publication Number:
  US 20130346995A1
• Time in Patent Office: 1,022 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 2221/2141 Access rights, e.g. capability lists, access control lists, access tables, access matrices
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: G06F 9/5072 Grid computing

Abstract

A disclosed system receives a request for resources, generates a credential map for each credential associated with the request, the credential map including a first type of resource mapping and a second type of resource mapping. The system generates a resource availability map, generates a first composite intersecting map that intersects the resource availability map with a first type of resource mapping of all the generated credential maps and generates a second composite intersecting map that intersects the resource availability map and a second type of resource mapping of all the generated credential maps. With the first and second composite intersecting maps, the system can allocate resources within the compute environment for the request based on at least one of the first composite intersecting map and the second composite intersecting map.

Claims

1. A method comprising:

establishing a standing reservation via a workload manager for compute resources within a compute environment, wherein the standing reservation is periodic and comprises a first reservation of a group of compute resources at a first time to yield a first group of reserved compute resources and a second reservation of the group of compute resources at a second time to yield a second group of reserved compute resources;

receiving a request for compute resources to process workload in the standing reservation;

receiving, with the request, an optimization request for the workload, wherein the optimization request causes the workload manager to analyze the compute environment for opportunities to modify, prior to the compute environment processing the workload, one of the first group of reserved compute resources and the second group of reserved compute resources in terms of one of space or time to improve performance of the compute environment when the compute environment processes the workload relative to a configuration of the compute environment under the standing reservation at a time the request for compute resources was received;

modifying, via virtual partitioning, one of the first group of reserved compute resources and the second group of reserved compute resources according to the optimization request to yield a modified group of compute resources; and

inserting the workload into the modified group of compute resources for processing.

2. The method of claim 1, wherein the workload manager receives requests for the compute resources in the compute environment and makes reservations for the compute resources to accommodate the requests.

3. The method of claim 1, wherein the standing reservation is created and configured by specifying parameters in a configuration file.

4. The method of claim 1, wherein the optimization request for the workload has one of a required criteria, a preferred criteria, and both the required criteria and the preferred criteria.

5. The method of claim 1, wherein the virtual partitioning comprises making modifications based on one of criteria, class, quality of service, and policies.

6. The method of claim 5, wherein the virtual partitioning comprises modifying one of the first group of reserved compute resources, the second group of reserved compute resources, and both the first group of reserved compute resources and the second group of reserved compute resources.

7. The method of claim 1, wherein the user is a group of users.

8. A system comprising

a processor;

and

a computer-readable medium storing instructions, which, when executed by the processor, cause the processor to perform operations comprising;

establishing a standing reservation via a workload manager for compute resources within a compute environment, wherein the standing reservation is periodic and comprises a first reservation of a group of compute resources at a first time to yield a first group of reserved compute resources and a second reservation of the group of compute resources at a second time to yield a second group of reserved compute resources;

receiving a request for compute resources to process workload in the standing reservation;

receiving, with the request, an optimization request for the workload, wherein the optimization request causes the workload manager to analyze the compute environment for opportunities to modify, prior to the compute environment processing the workload, one of the first group of reserved compute resources and the second group of reserved compute resources in terms of one of space or time to improve performance of the compute environment when the compute environment processes the workload relative to a configuration of the compute environment under the standing reservation at a time the request for compute resources was received;

modifying, via virtual partitioning, one of the first group of reserved compute resources and the second group of reserved compute resources according to the optimization request to yield a modified group of compute resources; and

inserting the workload into the modified group of compute resources for processing.

9. The system of claim 8, wherein the workload manager receives requests for the compute resources in the compute environment and makes reservations for the compute resources to accommodate the requests.

10. The system of claim 8, wherein the standing reservation is created and configured by specifying parameters in a configuration file.

11. The system of claim 8, wherein the optimization request for the workload has one of a required criteria, a preferred criteria, and both the required criteria and the preferred criteria.

12. The system of claim 8, wherein the virtual partitioning comprises making modifications based on one of criteria, class, quality of service, and policies.

13. The system of claim 12, wherein the virtual partitioning comprises modifying one of the first group of reserved compute resources, the second group of reserved compute resources, and both the first group of reserved compute resources and the second group of reserved compute resources.

14. The system of claim 8, wherein the user is a group of users.

15. A computer-readable storage device storing instructions for controlling a computing device to process a request for resources within a compute environment, the instructions, when extracted by the computing device, cause the computing device to perform operations comprising:

establishing a standing reservation via a workload manager for compute resources within a compute environment, wherein the standing reservation is periodic and comprises a first reservation of a group of compute resources at a first time to yield a first group of reserved compute resources and a second reservation of the group of compute resources at a second time to yield a second group of reserved compute resources;

receiving a request for compute resources to process workload in the standing reservation;

receiving, with the request, an optimization request for the workload wherein the optimization request causes the workload manager to analyze the compute environment for opportunities to modify, prior to the compute environment processing the workload, one of the first group of reserved compute resources and the second group of reserved compute resources in terms of one of space or time to improve performance of the compute environment when the compute environment processes the workload relative to a configuration of the compute environment under the standing reservation at a time the request for compute resources was received;

modifying, via virtual partitioning, one of the first group of reserved compute resources and the second group of reserved compute resources according to the optimization request to yield a modified group of compute resources; and

inserting the workload into the modified group of compute resources for processing.

16. The computer-readable storage device of claim 15, wherein the standing reservation is created and configured by specifying parameters in a configuration file.

17. The computer-readable storage device of claim 15, wherein the optimization request for the workload has one of a required criteria, a preferred criteria, and both the required criteria and the preferred criteria.

18. The computer-readable storage device of claim 15, wherein the virtual partitioning comprises making modifications based on one of criteria, class, quality of service, and policies.

19. The computer-readable storage device of claim 18, wherein the virtual partitioning comprises modifying one of the first group of reserved compute resources, the second group of reserved compute resources, and both the first group of reserved compute resources and the second group of reserved compute resources.

20. The computer-readable storage device of claim 15, wherein the user is a group of users.