Capacity planning

• US 20030225563A1
• Filed: 05/30/2002
• Published: 12/04/2003
• Est. Priority Date: 05/30/2002
• Status: Abandoned Application

• Current Assignee: Electronic Data Systems Corporation (Perspecta, Inc.)
• Original Assignee: Electronic Data Systems Corporation (Perspecta, Inc.)
• Inventors: Gonos, Dan G.
• Application Number:
  US10/157,025
• Publication Number:
  US 20030225563A1
• Time in Patent Office: Days
• US Class Current: 703/22
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

Information gathered from functional, technical, or management work products. is used to generate predictive models and reports that may be used in capacity planning for a computer application program. Capacity planning information may be entered into a database from which predictive models and reports are generated.

Claims

1. A computer-implemented method for capacity planning for a computer system, the method comprising:

providing planning information to one or more computer systems;

generating one or more predictive models using the provided planning information and at least one of the one or more computer systems;

validating the one or more predictive models using at least one of the one or more computer systems;

generating a capacity model based on the one or more predictive models using at least one of the one or more computer systems; and

repeating the generating and validating of the one or more predictive models and the generating of the capacity model as more planning information is provided.

2. The method of claim 1 wherein the planning information comprises system component information.

3. The method of claim 2 wherein the planning information comprises compute device information.

4. The method of claim 1 wherein the planning information comprises data model information and generating one or more predictive models comprises generating a data class model using the data model information.

5. The method of claim 1 wherein the planning information comprises data usage information and generating one or more predictive models comprises generating a case use model using the data usage information.

6. The method of claim 1 wherein the planning information comprises process model information and generating one or more predictive models comprises generating a case use model using the process model information.

7. The method of claim 1 wherein the planning information comprises location information and generating one or more predictive models comprises generating a communication traffic model using the location information.

8. The method of claim 1 wherein the planning information comprises application program information and generating one or more predictive models comprises generating a transaction model using application program information.

9. The method of claim 8 wherein application program information comprises data structure information.

10. The method of claim 8 wherein application program information comprises function information.

11. The method of claim 1 wherein one of the predictive models comprises a utilization model.

12. The method of claim 11 wherein the utilization model comprises a memory utilization model.

13. The method of claim 11 wherein the utilization model comprises a disk utilization model.

14. The method of claim 1 wherein one of the predictive models comprises a database growth model.

15. The method of claim 1 wherein the capacity model comprises memory requirements, disk requirements, and processor requirements for one or more components in a computer system.

16. The method of claim 1 wherein the validating one or more predictive models comprises using a system simulation model.

17. The method of claim 1 further comprising generating capacity planning reports using the one or more predictive models.

18. The method of claim 1 wherein:

generating the one or more predictive models comprises generating the one or more predictive models using a data modeling system, and

generating the capacity model comprises generating the capacity model using the data modeling system,

the method further comprising loading capacity planning information into the data modeling system.

19. A computer-readable medium or propagated signal having embodied thereon a computer program configured to restore data, the medium comprising a code segment configured to:

provide planning information to one or more computer systems;

generate one or more predictive models using the provided planning information and at least one of the one or more computer systems;

validate the one or more predictive models using at least one of the one or more computer systems;

generate a capacity model based on the one or more predictive models using at least one of the one or more computer systems; and

repeat the generating and validating of the one or more predictive models and the generating of the capacity model as more planning information is provided.

20. The medium of claim 19 wherein the planning information comprises system component information.

21. The medium of claim 20 wherein the planning information comprises compute device information.

22. The medium of claim 19 wherein the planning information comprises data model information and generating one or more predictive models comprises generating a data class model using the data model information.

23. The medium of claim 19 wherein the planning information comprises data usage information and generating one or more predictive models comprises generating a case use model using the data usage information.

24. The medium of claim 19 wherein the planning information comprises process model information and generating one or more predictive models comprises generating a case use model using the process model information.

25. The medium of claim 19 wherein the planning information comprises location information and generating one or more predictive models comprises generating a communication traffic model using the location information.

26. The medium of claim 19 wherein the planning information comprises application program information and generating one or more predictive models comprises generating a transaction model using application program information.

27. The medium of claim 26 wherein the application program information comprises data structure information.

28. The medium of claim 26 wherein the application program information comprises function information.

29. The medium of claim 19 wherein one of the predictive models comprises a utilization model.

30. The medium of claim 29 wherein the utilization model comprises a memory utilization model.

31. The medium of claim 29 wherein the utilization model comprises a disk utilization model.

32. The medium of claim 19 wherein one of the predictive models comprises a database growth model.

33. The medium of claim 19 wherein the capacity model comprises memory requirements, disk requirements, and processor requirements for one or more components in a computer system.

34. The medium of claim 19 wherein the code segment configured to validate one or more predictive models is configured to use a system simulation model.

35. The medium of claim 19 further comprising a code segment configured to generate capacity planning reports using the one or more predictive models.

36. The medium of claim 19 wherein:

the code segment configured to generate the one or more predictive models is configured to generate the one or more predictive models using a data modeling system, and

the code segment configured to generate the capacity model is configured to generate the capacity model using the data modeling system,

the medium further comprising a code segment configured to load capacity planning information into the data modeling system.

37. A system for capacity planning for a computer system, the system comprising a processor connected to a storage device and one or more input/output devices, wherein the processor is configured to:

provide planning information to one or more computer systems;

generate one or more predictive models using the provided planning information and at least one of the one or more computer systems;

validate the one or more predictive models using at least one of the one or more computer systems;

generate a capacity model based on the one or more predictive models using at least one of the one or more computer systems; and

repeat the generating and validating of the one or more predictive models and the generating of the capacity model as more planning information is provided.

38. The system of claim 37 wherein the planning information comprises system component information.

39. The system of claim 38 wherein the planning information comprises compute device information.

40. The system of claim 37 wherein the planning information comprises data model information and the processor is configured to use the data model information to generate a data class model as one of the one or more predictive models.

41. The system of claim 37 wherein the planning information comprises data usage information and the processor is configured to use the data usage information to generate a case use model as one of the one or more predictive models.

42. The system of claim 37 wherein the planning information comprises process model information and the processor is configured to use the process model information to generate a case use model as one of the one or more predictive models.

43. The system of claim 37 wherein the planning information comprises location information and the processor is configured to use the location information to generate a communication traffic model as one of the one or more predictive models.

44. The system of claim 37 wherein the planning information comprises application program information and the processor is configured to use the application program information to generate a transaction model as one of the one or more predictive models.

45. The system of claim 44 wherein application program information comprises data structure information.

46. The system of claim 44 wherein application program information comprises function information.

47. The system of claim 37 wherein one of the predictive models comprises a utilization model.

48. The system of claim 47 wherein the utilization model comprises a memory utilization model.

49. The system of claim 47 wherein the utilization model comprises a disk utilization model.

50. The system of claim 37 wherein one of the predictive models comprises a database growth model.

51. The system of claim 37 wherein the capacity model comprises memory requirements, disk requirements, and processor requirements for one or more components in a computer system.

52. The system of claim 37 wherein the processor is configured to validate one or more predictive models using a system simulation model.

53. The system of claim 37 wherein the processor is further configured to generate capacity planning reports using the one or more predictive models.

54. The system of claim 37 wherein the processor is configured to:

load capacity planning information into a data modeling system,

generate the one or more predictive models using the data modeling system, and

generate the capacity model using the data modeling system.