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Dynamic monitoring and visualization for network health characteristics

  • US 10,164,861 B2
  • Filed: 12/28/2015
  • Issued: 12/25/2018
  • Est. Priority Date: 12/28/2015
  • Status: Active Grant
First Claim
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1. A computer-implemented method for dynamically monitoring and displaying health characteristics of a plurality of network devices or network paths on a communications network via a graphical user interface, the method comprising:

  • receiving a plurality of collected metrics regarding a plurality of health characteristics for each of a plurality of network devices or network paths, wherein each of the plurality of collected metrics represents a health characteristic for a first period of time;

    receiving a selection from a user of at least one health characteristic from the plurality of health characteristics to be analyzed for a second period of time, wherein the second period of time is a multiple of the first period of time;

    applying a first rule set defining at least one threshold to the collected metrics to assign a first classification to the selected at least one health characteristic for each of the plurality of network devices or network paths for each collected metric during the second period of time;

    applying a second rule set defining at least one threshold to aggregate the first classification for the selected at least one health characteristic for each of the plurality of network devices or network paths over the second period of time and assign an aggregated second classification for the selected at least one health characteristic for each of the plurality of network devices or network paths over the second period of time; and

    displaying to the user the second classification of the selected at least one health characteristic for each of the plurality of network devices or network paths via a grid format on an interactive graphical user interface, wherein one square of the grid represents an aggregate classification for one network device or network path over the entire second period of time, based on collected metrics for the first period of time.

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