Automatic data interpretation and implementation using performance capacity management framework over many servers

1. An automated method of managing server network computing resources having a workload of a given type, the method comprising:

providing additional hardware resources available to, but unused by, the server network computing resources;

providing resource data collectors for collecting data regarding performance of the server network computing resources, in accordance with the type of workload;

developing a forecast of utilization of the server network computing resources, based on historical performance data;

collecting real-time performance data regarding the server network computing resources running under the workload;

analyzing the real-time performance data and the forecast to identify a critical server network computing resource; and

automatically adjusting a capacity of the server network computing resource to provide steady-state performance of said resource under said workload.

2. The method of claim 1 further comprising setting threshold values for said performance data and identifying the server network computing resource in accordance with the threshold values.

3. The method of claim 1 further comprising:

notifying a user of the server network computing resources when the critical resource is a hardware resource; and

notifying the user when the capacity of said hardware resource is adjusted.

4. The method of claim 3 wherein the additional hardware resources are selected from the group consisting of CPUs, computer memory and computer disk storage.

5. The method of claim 1 wherein the additional hardware resources are selected from the group consisting of CPUs, computer memory and computer disk storage.

6. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform an automated method of managing server network computing resources having a workload of a given type, using resource data collectors for collecting data regarding performance of the server network computing resources in accordance with the type of workload, and a forecast of utilization of the server network computing resources based on historical performance data, the server network computing resources further including additional hardware resources available to, but unused by, the computing resources, said method steps comprising:

collecting real-time performance data regarding the server network computing resources running under the workload;

analyzing the real-time performance data and the forecast to identify a critical server network computing resource; and

automatically adjusting a capacity of the server network computing resource to provide steady-state performance of said resource under said workload.

7. The program storage device of claim 6 wherein the method steps further comprise setting threshold values for said performance data and identifying the server network computing resource in accordance with the threshold values.

8. The program storage device of claim 6 wherein the method steps further comprise:

notifying a user of the server network computing resources when the critical resource is a hardware resource; and

notifying the user when the capacity of said hardware resource is adjusted.

9. The program storage device of claim 8 wherein the additional hardware resources are selected from the group consisting of CPUs, computer memory and computer disk storage.

10. The program storage device of claim 6 wherein the additional hardware resources are selected from the group consisting of CPUs, computer memory and computer disk storage.

11. A computer program product for performing an automated method of managing server network computing resources having a workload of a given type, using resource data collectors for collecting data regarding performance of the server network computing resources in accordance with the type of workload, and a forecast of utilization of the server network computing resources based on historical performance data, the server network computing resources further including additional hardware resources available to, but unused by, the server network computing resources, said computer program product having:

computer-readable program code for collecting real-time performance data regarding the server network computing resources running under the workload;

computer-readable program code for analyzing the real-time performance data and the forecast to identify a critical server network computing resource; and

computer-readable program code for automatically adjusting a capacity of the server network computing resource to provide steady-state performance of said resource under said workload.

12. The computer program product of claim 11 wherein the computer program product further comprises computer-readable program code for setting threshold values for said performance data and computer-readable program code for identifying the server network computing resource in accordance with the threshold values.

13. The computer program product of claim 11 wherein the computer program product further comprises:

computer-readable program code for notifying a user of the server network computing resources when the critical resource is a hardware resource; and

computer-readable program code for notifying the user when the capacity of said hardware resource is adjusted.

14. The computer program product of claim 13 wherein the additional hardware resources are selected from the group consisting of CPUs, computer memory and computer disk storage.

15. The computer program product of claim 11 wherein the additional hardware resources are selected from the group consisting of CPUs, computer memory and computer disk storage.