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Anomaly Detecting for Database Systems

  • US 20110271146A1
  • Filed: 04/30/2010
  • Published: 11/03/2011
  • Est. Priority Date: 04/30/2010
  • Status: Active Grant
First Claim
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1. A method for detecting anomalies for a database system, comprising:

  • extracting one or more workload features from a query optimizer based on a query workload;

    generating workload feature models for the one or more extracted workload features;

    extracting one or more instance features from the query optimizer based on a query instance, wherein instance feature values are obtained;

    applying a query instance to the workload feature models to produce a prediction value for each workload feature; and

    reporting one or more anomalies based on a comparison of each instance feature value with a corresponding prediction value.

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