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ANALYZING DATABASE CLUSTER BEHAVIOR BY TRANSFORMING DISCRETE TIME SERIES MEASUREMENTS

  • US 20140258254A1
  • Filed: 03/08/2013
  • Published: 09/11/2014
  • Est. Priority Date: 03/08/2013
  • Status: Active Grant
First Claim
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1. A computer implemented method for analyzing performance of components of a database cluster by transforming discrete events into a time series to identify dominant signals, the method comprising:

  • sampling, using a measurement instrument, a plurality of discrete event measurements of the database cluster to produce a set of timestamped events, at least some of the timestamped events sampled by one or more hardware components or one or more software components of the database cluster;

    formatting the set of timestamped events into a time series wherein a time series entry comprises a time indication and a plurality of values, the values corresponding to a state value of the database cluster; and

    processing the time series to identify at least one state signal.

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