SYSTEM AND METHOD FOR CAPACITY SIZING FOR COMPUTER SYSTEMS

• US 20080195447A1
• Filed: 02/09/2007
• Published: 08/14/2008
• Est. Priority Date: 02/09/2007
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Liu, Zhen, Zhang, Li, Bouillet, Eric, Pendarakis, Dimitrios
• Application Number:
  US11/673,118
• Publication Number:
  US 20080195447A1
• Time in Patent Office: Days
• US Class Current: 705/7.25
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

A system and method for capacity sizing in a computer device or system includes determining one or more classes of operations based on at least one of historical computational usage and predicted usage for a system. Based on the one or more classes of operations, at least one capacity target is set based on the computational usage for each class such that computational capacity is maintained at a set level over a given time period and the set level satisfies at least one usage criterion over the given time period.

Claims

1. A method for capacity sizing in a computer device or system, comprising:

determining one or more classes of operations based on at least one of historical computational usage and predicted usage for a system;

based on the one or more classes of operations, setting at least one capacity target based on the computational usage for each class such that computational capacity is maintained at a set level over a given time period and the set level satisfies at least one usage criterion over the given time period.

2. The method as recited in claim 1, wherein the one or more classes includes a batch class and setting at least one capacity target includes setting a capacity, m, to indicate an amount of work that can be completed in a given time period.

3. The method as recited in claim 2, wherein setting the capacity, m, includes determining residual work above the capacity and queuing the residual work in a next time period.

4. The method as recited in claim 2, wherein the at least one usage criterion includes an amount of residual work, and the method includes limiting the residual work such that the residual work can be completed in a defined period after a period where the residual work has occurred.

5. The method as recited in claim 2, wherein setting the capacity, m, includes manually setting the capacity to guarantee a level of performance.

6. The method as recited in claim 1, wherein the one or more classes includes a transactional class and setting at least one capacity target includes setting a capacity, m, to provide less than a maximum amount of lost work in a given time period.

7. The method as recited in claim 6, wherein setting the capacity, m, includes determining lost work by computing a utilization area under a utilization curve above a set capacity.

8. The method as recited in claim 7, wherein the at least one usage criterion includes a maximum percentage of lost work, and the method includes limiting the utilization area to an amount corresponding to less than the maximum percentage of lost work.

9. The method as recited in claim 6, wherein setting the capacity, m, includes manually setting the capacity to guarantee a level of performance.

10. The method as recited in claim 1, further comprising optimizing the computational capacity based on the at least one target objective using a binary search method.

11. A computer program product for capacity sizing a computer device or system comprising a computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:

determining one or more classes of operations based on at least one of historical computational usage and predicted usage for a system;

based on the one or more classes of operations, setting at least one capacity target based on the computational usage for each class such that computational capacity is maintained at a set level over a given time period and the set level satisfies at least one usage criterion over the given time period.

12. The computer program product as recited in claim 11, wherein the one or more classes includes a batch class and setting at least one capacity target includes setting a capacity, m, to indicate an amount of work that can be completed in a given time period.

13. The computer program product as recited in claim 12, wherein setting the capacity, m, includes determining residual work above the capacity and queuing the residual work in a next time period.

14. The computer program product as recited in claim 11, wherein the one or more classes includes a transactional class and setting at least one capacity target includes setting a capacity, m, to provide less than a maximum amount of lost work in a given time period.

15. The computer program product as recited in claim 14, wherein setting the capacity, m, includes determining lost work by computing a utilization area under a utilization curve above the capacity.

16. The computer program product as recited in claim 11, further comprising optimizing the computational capacity based on the at least one target objective using a binary search method.

17. A method for capacity sizing in a computer device or system, comprising:

determining one or more classes of operations based on at least one of historical computational usage and predicted usage for a system;

for batch processing, setting a first capacity target to indicate an amount of work capacity that can be completed in a given time period;

determining residual work above the first capacity target while meeting a first usage criteria such that queuing the residual work in a next time period maintains usage at the first capacity target; and

for transactional processing, setting a second capacity target that provides less than a maximum amount of lost work in a given time period by computing a utilization area under a utilization curve above the second capacity target.

18. The method as recited in claim 17, wherein setting the first capacity includes limiting residual work such that the residual work can be completed in a defined period after a period where the residual work has occurred.

19. The method as recited in claim 17, wherein setting the second capacity target includes limiting the utilization area to an amount corresponding to less than a maximum percentage of lost work.

20. The method as recited in claim 17, further comprising optimizing sizing capacity based on the first and second target objectives using a binary search method.