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Recommending a Suspicious Component in Problem Diagnosis for a Cloud Application

  • US 20150199226A1
  • Filed: 01/07/2015
  • Published: 07/16/2015
  • Est. Priority Date: 01/16/2014
  • Status: Active Grant
First Claim
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1. A method for recommending a suspicious component in problem diagnosis for a cloud application, comprising:

  • constructing a graph data model representing a hierarchical structure of the cloud application, wherein the graph data model comprises an application node representing the cloud application, a plurality of component nodes representing a plurality of components of the cloud application, and inter-node lines indicating inter-node relationships;

    obtaining real-time information of the cloud application, in response to detecting performance degradation of the cloud application;

    obtaining impact degrees of the plurality of component nodes on the performance degradation of the cloud application, based on the graph data model and the real-time information; and

    generating a suspicious component sequence, according to the impact degrees of the plurality of component nodes.

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