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Dynamic Partitioning of Event Patterns for Determining Symptoms

  • US 20090113242A1
  • Filed: 10/25/2007
  • Published: 04/30/2009
  • Est. Priority Date: 10/25/2007
  • Status: Active Grant
First Claim
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1. A method for identifying event-correlated symptoms in a computer system, the method comprising:

  • associating an original pattern of computer events with a symptom of a computer system;

    partitioning the original pattern of computer events into multiple sub-patterns;

    associating at least one of the multiple sub-patterns with a single consolidated event;

    receiving, at a secondary autonomic manager, multiple events from a resource;

    correlating, at the secondary autonomic manager, the multiple events received at the secondary autonomic manager with a particular sub-pattern that describes the single consolidated event;

    converting, at the secondary autonomic manager, the particular sub-pattern into the single consolidated event;

    transmitting the single consolidated event from the secondary autonomic manager to a primary autonomic manager, wherein the single consolidated event is transmitted on a bus that couples the secondary autonomic manager to the primary autonomic manager;

    replacing, at the primary autonomic manager, the particular sub-pattern in the original pattern with the single consolidated event to create a prepared pattern; and

    utilizing, at the primary autonomic manager, the prepared pattern to identify the symptom.

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