Method, apparatus and program storage device for extending dispersion frame technique behavior using dynamic rule sets

• US 7,480,828 B2
• Filed: 06/10/2004
• Issued: 01/20/2009
• Est. Priority Date: 06/10/2004
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Yardley, Brent W., Jastad, Michael A., Phelan, Thomas G.
• Primary Examiner(s): Lohn; Joshua A
• Application Number:
  US10/865,206
• Publication Number:
  US 20050278570A1
• Time in Patent Office: 1,685 Days
• Field of Search: 714/26, 714/39, 714/45, 714/48, 714/49, 714/57
• US Class Current: 714/39
• CPC Class Codes: G06F 11/008 Reliability or availability analysis

Abstract

A method, apparatus and program storage device for providing control of statistical processing of error data over a multitude of sources using a dynamically modifiable DFT rule set is disclosed. The dispersion frame technique is extended in the present invention to provide dispersion frame rules with user-defined parameters thereby creating a dynamically modifiable rule set.

Claims

1. A method for providing error data processing having user-defined parameters, comprising:

applying user-defined error thresholds to a plurality of user-definable error threshold rules;

processing error events of a same type, including detecting a plurality of errors from a source and calculating a time period between the plurality of errors;

storing information related to the processed error events;

determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information, including determining that the detected plurality of errors satisfies a user-defined error dispersion index number, wherein the error dispersion index is the number of errors in half of the time period between errors of the same type; and

reaching the user-defined error dispersion index number a user-defined number of times consecutively in the same time period between errors of the same type.

2. The method of claim 1, wherein the storing information related to the processed error events further comprises storing information related to the plurality of errors and the time periods between the plurality of errors.

3. The method of claim 1, wherein the determining when one of the plurality of user-definable error threshold rules has been satisfied further comprises comparing a number of detected errors and the time period between the plurality of errors to the user-definable error threshold rules.

4. The method of claim 1, further comprising reaching the user-defined error dispersion index number a user-defined number times consecutively in the same period of time between errors of the same type.

5. The method of claim 4 further comprising satisfying the user-defined error dispersion index number a user-defined number of times consecutively in two successive dispersion frames.

6. The method of claim 1, wherein the detecting the plurality of errors comprises processing errors occurring within a user-defined time frame and identifying the errors as one error when an error rate based on the calculated time period between the plurality of errors satisfies a user-definable error threshold rule.

7. The method of claim 1, further comprising sending a warning when one of the plurality of user-definable error threshold rules has been satisfied.

8. The method of claim 7, wherein the warning is of a particular type based on the one of the plurality of user-definable error threshold rules.

9. The method of claim 1, further comprising providing user-defined error thresholds for modifying the user-definable error threshold rules.

10. The method of claim 1, wherein determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information comprises determining that the period of time between detected errors is less than a user-defined time frame.

11. The method of claim 1, wherein determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information comprises determining that a user-defined number of detected errors occur within a user-defined time frame.

12. The method of claim 1, wherein determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information comprises determining that a user-defined number of periods of time between errors occurs at a non-increasing rate.

13. The method of claim 12, wherein errors occurring at a non-increasing rate further comprises a user-defined number of errors occurring within half of the previous period of time between errors.

14. A method for providing error data processing having user-defined parameters, comprising:

applying user-defined error thresholds to a plurality of user-definable error threshold rules;

processing error events of a same type, including detecting a plurality of errors from a source and calculating a time period between the plurality of errors;

storing information related to the processed error events; and

determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information, wherein the step of determining comprises determining that the detected plurality of errors satisfies a user-defined error dispersion index number, wherein the error dispersion index is the number of errors in half of the time period between errors of the same type.

15. The method of claim 14, wherein the step of storing information related to the processed error events further comprises storing information related to the plurality of errors and the time periods between the plurality of errors.

16. The method of claim 14, wherein the step of determining when one of the plurality of user-definable error threshold rules has been satisfied further comprises comparing a number of detected errors and the time period between the plurality of errors to the user-definable error threshold rules.

17. The method of claim 14, further comprising reaching the user-defined error dispersion index number a user-defined number times consecutively in the same period of time between errors of the same type.

18. The method of claim 17, further comprising satisfying the user-defined error dispersion index number a user-defined number of times consecutively in two successive dispersion frames.

19. The method of claim 14, wherein the step of detecting the plurality of errors comprises processing errors occurring within a user-defined time frame and identifying the errors on one error when an error rate based on the calculated time period between the plurality of errors satisfies a user-definable error threshold rule.

20. The method of claim 14, further comprising sending a warning when one of the plurality of user-definable error threshold rules has been satisfied.

21. The method of claim 20, wherein the step of warning is of a particular type based on the one of the plurality of user-definable error threshold rules.

22. The method of claim 14, further comprising providing user-defined error thresholds for modifying the user-definable error threshold rules.

23. The method of claim 14, wherein the step of determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information comprises determining that the period of time between detected errors is less than a user-defined time frame.

24. The method of claim 14, wherein the step of determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information comprises determining that a user-defined number of detected errors occur within a user-defined time frame.

25. The method of claim 14, wherein the step of determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information comprises determining that a user-defined number of periods of time between errors occurs at a non-increasing rate.

26. The method of claim 25, wherein errors occurring at a non-increasing rate further comprises a user-defined number of errors occurring within half of the previous period of time between errors.

27. A method for providing error data processing having user-defined parameters, comprising:

applying user-defined error thresholds to a plurality of user-definable error threshold rules;

processing error events of a same type;

storing information related to the processed error events; and

determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information, wherein the step of determining comprises determining that a user-defined number of periods of time between errors occurs at a non-increasing rate, and wherein errors occurring at a non-increasing rate further comprises a user-defined number of errors occurring within half of a previous period of time between errors.

28. A method for providing error data processing having user-defined parameters, comprising:

applying user-defined error thresholds to a plurality of user-definable error threshold rules;

processing error events of a same type, including detecting a plurality of errors from a source and calculating a time period between the plurality of errors;

storing information related to the processed error events;

determining when one of the plurality of user-definable error threshold rules has been satisfied based on the stored information, including determining that the detected plurality of errors satisfies a user-defined error dispersion index number, wherein the error dispersion index is the number of errors in half of the time period between errors of the same type;

reaching the user-defined error dispersion index number a user-defined number of times consecutively in the same time period between errors of the same type; and

satisfying the user defined error dispersion index number a user-defined number of times consecutively in two successive dispersion frames.