Methods and arrangements for distributed diagnosis in distributed systems using belief propagation

• US 20080126859A1
• Filed: 08/31/2006
• Published: 05/29/2008
• Est. Priority Date: 08/31/2006
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Guo, Shang Q., Rish, Irina, Loewenstern, David M., Odintsova, Natalia
• Application Number:
  US11/514,706
• Publication Number:
  US 20080126859A1
• Time in Patent Office: Days
• US Class Current: 714/25
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36

Abstract

In the context of problems associated with self-healing in autonomic computer systems, and particularly, the problem of fast and efficient real-time diagnosis in large-scale distributed systems, a “divide-and-conquer” approach to diagnostic tasks is disclosed. Preferably, parallel (i.e., multi-thread) and distributed (i.e., multi-machine) architectures are used, whereby the diagnostic task is preferably divided into subtasks and distributed to multiple diagnostic engines that collaborate with each other in order to reach a final diagnosis. Each diagnostic engine is preferably responsible for some subset of system components (its “region”) and performs the diagnosis using all available observation about these components. When the regions do not intersect, the diagnostic task is trivially parallelized.

Claims

1. A method for affording collaborative problem determination in a distributed system, said method comprising the steps of:

appending at least one measurement component to a distributed system;

employing the at least one measurement component to obtain system status information;

sharing system status information among system nodes; and

diagnosing a problem in the distributed system based on shared system status information.

2. The method according to claim 1, further comprising the step of adding or deleting a system component reponsive to a system change.

3. The method according to claim 1, further comprising the step of adding or deleting at least one measurement component and/or at least one diagnostic component responsive to a system change.

4. The method according to claim 1, further comprising the step of subdividing at least one system component and/or at least one measurement component into regions, responsive to an increase in at least one of:

a number of system components and a number of measurement components.

5. The method according to claim 4, wherein said subdividing step comprises subdividing at least one system component and/or at least one measurement component into intersecting regions.

6. The method according to claim 1, wherein said step of employing the at least one measurement component to obtain system status information comprises obtaining system status information via local inference.

7. The method according to claim 1, wherein said step of sharing system status information comprises employing belief propagation.

8. The method according to claim 1, wherein said step of employing the at least one measurement component to obtain system status information comprises employing the at least one measurement component to probe the system via at least one end-to-end transaction.

9. The method according to claim 1, further comprising the step of reporting diagnostic results locally.

10. The method according to claim 1, further comprising the step of reporting diagnostic results globally.

11. A apparatus for affording collaborative problem determination in a distributed system, said apparatus comprising:

an arrangement for appending at least one measurement component to a distributed system;

an arrangement for employing the at least one measurement component to obtain system status information;

an arrangement for sharing system status information among system nodes; and

an arrangement for diagnosing a problem in the distributed system based on shared system status information.

12. The apparatus according to claim 11, further comprising an arrangement for adding or deleting a system component reponsive to a system change.

13. The apparatus according to claim 11, further comprising an arrangement for adding or deleting at least one measurement component and/or at least one diagnostic component responsive to a system change.

14. The apparatus according to claim 11, further comprising an arrangement for subdividing at least one system component and/or at least one measurement component into regions, responsive to an increase in at least one of:

a number of system components and a number of measurement components.

15. The apparatus according to claim 14, wherein said subdividing arrangement acts to subdivide at least one system component and/or at least one measurement component into intersecting regions.

16. The apparatus according to claim 11, wherein said arrangement for employing the at least one measurement component to obtain system status information acts to obtain system status information via local inference.

17. The apparatus according to claim 11, wherein said arrangement for sharing system status information acts to employ belief propagation.

18. The apparatus according to claim 11, wherein said arrangement for employing the at least one measurement component to obtain system status information acts to employ the at least one measurement component to probe the system via at least one end-to-end transaction.

19. The apparatus according to claim 11, further comprising an arrangement for reporting diagnostic results locally and/or globally.

20. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for affording collaborative problem determination in a distributed system, said method comprising the steps of:

appending at least one measurement component to a distributed system;

employing the at least one measurement component to obtain system status information;

sharing system status information among system nodes; and

diagnosing a problem in the distributed system based on shared system status information.