Identifying likely failure points in a digital data processing system

• US 5,090,014 A
• Filed: 11/01/1989
• Issued: 02/18/1992
• Est. Priority Date: 03/30/1988
• Status: Expired due to Term

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Digital Equipment Corporation (HP Inc.)
• Inventors: Nicholson, James, Emlich, Larry, Polich, Herman
• Primary Examiner(s): BEAUSOLIEL JR, ROBERT W
• Application Number:
  US07/430,168
• Time in Patent Office: 839 Days
• Field of Search: 371/4, 371/11.1, 371/11.2, 371/11.3, 371/29.1, 371/16.5, 371/15.1, 371/5.5, 371/5.1, 371/8.1, 371/8.2, 371/9.1, 371/10.1, 371/7, 371/14, 364/513, 364/200
• US Class Current: 714/26
• CPC Class Codes: G06F 11/2205 using arrangements specific to the hardware being tested
• CPC Class Codes: G06F 11/2257 using expert systems
• CPC Class Codes: Y10S 706/916 Electronic or computer, internal or network, circuit

Abstract

An expert system for determining the likelihood of failure of a unit in a computer system. The operating system of the computer system maintains a log of the errors occurring for each unit in the computer system. If a predetermined number of errors have been entered in the log for a specific unit, the expert system retrieves the error entries relating to that unit and processes them to determine whether a failure is likely to occur. In this, the processing performed by the expert system is arranged so that tests relating to components of increasing particularity, and decreasing generality, are performed after the tests relating to more general components.

Claims

1. A method of detecting one of a plurality of likely failures of components in a digital data processing system, comprising the steps of

storing a plurality of error entries, each error entry containing a plurality of indicia pertaining to an error event in said digital data processing system,

analyzing, through use of a digital data processing system, said error entries containing indicia pertaining to error events, to identify a pattern of differing indicia pertaining to said error events that corresponds with one of a plurality of failure theories,

and, based on said failure theory, identifying a said likely failure of a said component and initiating recovery operations to avoid loss of data.

2. A method in accordance with claim 1, wherein said step of initiating recovery operations comprises enabling an operating system to use a substitute disk storage unit as a backup for a likely-to-fail disk storage unit.

3. A method in accordance with claim 1, wherein said step of initiating recovery operations comprises substituting a redundant component for a likely-to-fail component.

4. A method in accordance with claim 1, wherein said step of initiating recovery operations comprises transferring data from a likely-to-fail component to a substitute component.

5. A method in accordance with claim 1, wherein said step of initiating recovery operations comprises reconfiguring of redundant components in a manner such that said digital data processing system is serviced without interruption of operations and without loss of data.

6. A method in accordance with claim 5, wherein said step of initiating recovery operations is embedded in software that automatically notifies a maintenance utility that service is required.

7. A method in accordance with claim 6, wherein said software identifies a likely-to-fail component to said maintenance utility.

8. A method in accordance with claim 1, wherein said step of identifying a likely failure of a component comprises predicting failure of a component before said component actually fails.

9. A method in accordance with claim 1, wherein said step of identifying a likely failure of a component comprises detecting an actual failure of a component.

10. A method in accordance with claim 1, wherein said digital data processing system that analyzes said error entries is said digital data processing system in which likely failures are detected.

20. A system in accordance with claim 1, wherein said digital data processing system that implements said collector module means, said analyzer module means, and said recovery module means is said digital data processing system in which likely failures are detected.

11. A system for detecting one of a plurality of likely failures of components in a digital data processing system, comprising

a collector module means for collecting a plurality of stored error entries, each error entry containing a plurality of indicia pertaining to an error event in said digital data processing system,

an analyzer module means for analyzing said error entries containing indicia pertaining to error events, identifying a pattern of differing indicia pertaining to said error events that corresponds with one of a plurality of failure theories, and, based on said failure theory, identifying a said likely failure of a said component,

and a recovery module means for initiating recovery operations, based on said failure theory, to avoid loss of data,

said collector module means, said analyzer module means, and said recovery module means being adapted for implementation by a digital data processing system.

12. A system in accordance with claim 11, wherein said recovery module means enables an operating system to use a substitute disk storage unit as a backup for a likely-to-fail disk storage unit.

13. A system in accordance with claim 11, wherein said recovery module means substitutes a redundant component for a likely-to-fail component.

14. A system in accordance with claim 11, wherein said recovery module means transfers data from a likely-to-fail component to a substitute component.

15. A system in accordance with claim 11, wherein said recovery module means reconfigures redundant components in a manner such that said digital data processing system is serviced without interruption of operations and without loss of data.

16. A system in accordance with claim 15, wherein said recovery module means comprises software that automatically notifies a maintenance utility that service is required.

17. A system in accordance with claim 16, wherein said software identifies a likely-to-fail component to said maintenance utility.

18. A system in accordance with claim 11, wherein said analyzer module means predicts failure of a component before said component actually fails.

19. A system in accordance with claim 11, wherein said analyzer module means detects an actual failure of a component.