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Tracking the dynamics of application-centric clusters in a virtualized datacenter

  • US 10,742,673 B2
  • Filed: 12/08/2017
  • Issued: 08/11/2020
  • Est. Priority Date: 12/08/2017
  • Status: Active Grant
First Claim
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1. A method for detecting anomalies in traffic patterns related to a first network address associated with an element in a computer network, the method comprising:

  • during each of a plurality of time periods, analyzing network traffic characteristics for traffic relating to the first network address to create a probabilistic distribution for flows that start or end at the first network address;

    comparing the probabilistic distributions of the flows that are created for the plurality of time periods to identify at least one particular time period that has a particular probabilistic distribution of flows that diverges from other probabilistic distributions created for other time periods; and

    identifying the particular time period for a network administrator to analyze in order to identify a source for an anomalous event that has caused the particular probabilistic distribution to diverge.

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