METHOD AND APPARATUS FOR SELF TUNING NETWORK STACK

• US 20090240802A1
• Filed: 05/05/2008
• Published: 09/24/2009
• Est. Priority Date: 03/18/2008
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: SHANKAR, Ganesh Handige
• Application Number:
  US12/114,892
• Publication Number:
  US 20090240802A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 41/0853 by actively collecting configuration information or by backing up configuration information
• CPC Class Codes: H04L 41/0856 by backing up or archiving configuration information
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method and apparatus for tuning a computer network by detecting different workload patterns. One embodiment of the method provides a system configuration analyzer to collect data regarding network configuration and tuning parameters, a workload analyzer to collect and store data relating to tuning such as network traffic information, a system tuner to determine whether there is a change in workload and whether tuning is necessary. Another embodiment of the method provides tuning policies that would instruct the system tuner to perform certain actions if the system tuner determines that tuning is necessary.

Claims

1. A method of automatically tuning a computer system, comprising the steps of:

collecting data relating to tuning a computer system, the data comprising network traffic data;

analyzing the data; and

determining if tuning is necessary.

2. The method as recited in claim 1, further comprising:

storing the collected data;

determining the workload of the computer system based on the collected data;

comparing the collected data with the stored data; and

determining if there is a change in workload of the computer system.

3. The method as recited in claim 2, further comprising:

determining if the system is tuned optimally for the current workload.

4. The method as recited in claim 1, further comprising:

if tuning is determined to be necessary, tuning the computer system based on the analysis of the data.

5. The method as recited in claim 1, further comprising:

providing tuning policies relating to timing of the computer system.

6. The method as recited in claim 5, further comprising:

if tuning is determined to be necessary, tuning the computer system based on the analysis of the data and the tuning policies.

7. The method as recited in claim 5, wherein the tuning policies comprises at least one of:

automatically tuning the computer system based on the analysis of the data;

providing a warning for an administrator when tuning is necessary;

providing recommendation on tuning the computer system; and

delaying action for a period of time.

8. The method as recited in claim 1, wherein the data relating to tuning a computer system further comprises at least one of:

network configurations, tuning parameters, LAN interfaces, interrupt configuration details, and interrupt coalescence values.

9. The method as recited in claim 1, further comprising:

periodically performing the collecting step, the analyzing step, and the determining step.

10. The method as recited in claim 9, further comprising:

putting into sleep mode between the periodic performance of the collecting step, the analyzing step and the determining steps.

11. A computer system, comprising a processor wherein the processor:

collects data relating to tuning a computer system, the data comprising network traffic data;

analyzes the data; and

determines if tuning is necessary.

12. The computer system as recited in claim 11, further comprising:

a storage medium for storing the collected data;

wherein the processor;

determines the workload of the computer system based on the collected data;

compares the collected data with the stored data; and

determines if there is a change in workload of the computer system.

13. The computer system as recited in claim 11, wherein the processor:

determines if the system is tuned optimally for the current workload.

14. The computer system as recited in claim 11, wherein the processor tunes the computer system based on the analysis of the data if tuning is determined to be necessary.

15. The computer system as recited in claim 12, wherein:

the storage medium stores tuning policies relating to tuning of the computer system.

16. The computer system as recited in claim 15, wherein:

the processor tunes the computer system based on the analysis of the data and the tuning policies.

17. The computer system as recited in claim 15, wherein the tuning policies comprises instructions for the processor to perform at least one of:

an automatic tuning of the computer system based on the analysis of the data;

a warning for an administrator when tuning is necessary;

a recommendation on tuning the computer system; and

a delay in action for a period of time.

18. The computer system as recited in claim 11, wherein the data relating to tuning a computer system further comprises at least one of:

network configurations, tuning parameters, LAN interfaces, interrupt configuration details, and interrupt coalescence values.

19. The computer system as recited in claim 11, wherein:

the processor periodically performs the collection, the analysis, and the determination.

20. The computer system as recited in claim 19, wherein:

at least part of the processor is put into sleep mode between the periodic performance of the collection, the analysis, and the determination.