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Hardware/software based indirect time stamping methodology for proactive hardware/software event detection and control

  • US 7,529,979 B2
  • Filed: 12/12/2003
  • Issued: 05/05/2009
  • Est. Priority Date: 12/12/2003
  • Status: Expired due to Fees
First Claim
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1. A method of analyzing events occurring on a distributed network comprising a plurality of processors, the method comprising:

  • during offline processing;

    updating a recent history table with critical events and any associated non-critical events that may occur in the distributed network;

    computing conditional probability values into a probability table, said probability values comprising joint probability values reflecting a probability that a sequence of two or more non-critical events happen before the critical event occurs;

    periodically updating the probability table;

    periodically examining the probability table to determine when online analysis of the non-critical event is possible; and

    generating event masks for use in a masking mechanism to filter a subset of the non-critical events associated with the critical events so that online analysis can be carried out in real-time;

    during online processing;

    loading the conditional probability table and the event masks computed from offline analysis;

    dynamically filtering the non-critical events using the masking mechanism comprising timeout and probability thresholds;

    determining that the probability of the occurrence of the critical event has surpassed a threshold level using the conditional probability table;

    migrating a process away from the critical event if it is determined that a timeout period has not elapsed; and

    if it is determined that the timeout period has elapsed;

    reloading the conditional probability tables; and

    generating new event masks to filter another subset of the non-critical events.

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