SYSTEM AND METHOD FOR INTEGRATING CAPACITY PLANNING AND WORKLOAD MANAGEMENT

• US 20110307901A1
• Filed: 01/30/2009
• Published: 12/15/2011
• Est. Priority Date: 01/30/2009
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Blanding, William H., Satterfield, Wade J, Herington, Dan, Stabnow, Michael R
• Granted Patent: US 8,689,227 B2
• Time in Patent Office: Days
• US Class Current: 718/104
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 11/3457 Performance evaluation by simulation
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

A system for integrating resource capacity planning and workload management, implemented as programming on a suitable computing device, includes a simulation module that receives data related to execution of the workloads, resource types, numbers, and capacities, and generates one or more possible resource configuration options; a modeling module that receives the resource configuration options and determines, based on one or more specified criteria, one or more projected resource allocations among the workloads; and a communications module that receives the projected resource allocations and presents the projected resource allocations for review by a user.

Claims

1. A system for integrating resource capacity planning and workload management, the system implemented as programming on a suitable computing device, comprising:

a simulation module that receives data related to execution of the workloads, resource types, numbers, and capacities, and generates one or more possible resource configuration options

a modeling module that receives the resource configuration options and determines, based on one or more specified criteria, one or more projected resource allocations among the workloads; and

a communications module that receives the projected resource allocations and presents the projected resource allocations for review by a user.

2. The system of claim 1, wherein the one or more specified criteria include service level objectives, performance metrics, and workload-resource allocation policies.

3. The system of claim 1, wherein the resources are fully-licensed resources and instant capacity resources.

5. The system of claim 1, further comprising an evaluation module, wherein the one or more resource allocation projections are evaluated according to a specified standard, and wherein the evaluation module comprises:

means to direct modeling of additional resource configuration option;

means for notifying the user when the specified standard is not achieved by one or more of the one or more resource allocation projections; and

means for varying policy settings and evaluating the affect of the variance on the one or more resource allocation projections.

6. The system of claim 1, wherein the resource allocation projections are time varying.

7. The system of claim 1 wherein the system is implemented as part of a workload management system and part of a capacity planning system.

4. The system of claim 4, wherein the modeling module computes resource costs for each of the one or more resource allocation projections.

8. A method, implemented on a suitably programmed computing device, for integrating capacity planning and workload management comprising:

receiving one or more of historical data and simulated data related to usage of resources by executing workloads;

computing possible resource demand configurations based on the received historical data and simulated data;

sending the resource demand configurations to a workload management system

determining, at the workload management system, resource allocation options; and

sending the resource allocation options to a capacity planning system for display to a user.

9. The method of claim 8, further comprising:

extracting, from a configuration file, policies, perform performance metrics, and service level objectives for the workloads; and

using the extractions, determining the resource allocation options.

10. The method of claim 8, wherein the method is performed in an interactive basis.

11. The method of claim 8, wherein the resource allocation options are time-varying.

12. The method of claim 8, further comprising:

determining if any of the resource demand configurations include instant capacity resources, wherein costs associated with the instant capacity resources are computed; and

sending the costs to the capacity planning system for display to the user

13. An architecture, implemented on a suitably programmed device, for integrating capacity planning functions and workload management functions in a computing system, the architecture, comprising:

means for receiving data related to execution of the workloads, resource types, numbers, and capacities;

means for generating one or more possible resource configuration options based on the received data;

means for modeling resource configuration options including determining, based on one or more specified criteria, one or more projected resource allocations among the workloads, and

means for communicating the projected resource allocations to a user.

14. The architecture of claim 13, wherein the one or more specified criteria include service level objectives, performance metrics, and workload-resource allocation policies.

15. The architecture of claim 13, wherein the resources are fully-licensed resources.

16. The architecture of claim 13 wherein the resources include instant capacity on demand resources.

17. The architecture of claim 16, wherein the modeling means includes means for computing resource costs for each of the one or more resource allocation projections.

18. The architecture of claim 13, wherein the resource allocation projections are time-varying.

19. The architecture of claim 13, wherein the architecture is implemented as part of a workload management system and part of a capacity planning system.

20. The architecture of claim 19, wherein the service level objectives, performance metrics, and workload-resource allocation policies are stored in a configuration file of the workload management system.