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Organizing network performance metrics into historical anomaly dependency data

  • US 9,632,858 B2
  • Filed: 05/13/2014
  • Issued: 04/25/2017
  • Est. Priority Date: 07/28/2013
  • Status: Active Grant
First Claim
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1. A method of ranking anomalies in an anomaly cluster, the method including:

  • assembling performance data for a multiplicity of metrics across a multiplicity of resources on a network and automatically setting criteria based on the performance data over time that qualifies a subset of the performance data as anomalous instance data, wherein the anomalous instance data are grouped in a cluster of operation anomalies that are interrelated as cascading failures traced over active network communication paths among resources, wherein the communication paths propagate anomalous performances;

    constructing a map that graphically depicts propagation of the anomalous performances along the active network communication paths as edges between nodes representing the resources; and

    calculating impact rankings for the nodes based at least on attributes of the resources exhibiting anomalous performances.

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