INTUITIVE GRAPHICAL NETWORK MAPPING BASED ON COLLECTIVE INTELLIGENCE

    公开(公告)号:US20230049207A1

    公开(公告)日:2023-02-16

    申请号:US17876843

    申请日:2022-07-29

    Abstract: In one embodiment, a method comprises: obtaining, by a process, path trace data collected by a plurality of performance monitoring agents across a computer network; obtaining, by the process, one or more catalogs having application-based correlation information for the path trace data; generating, by the process, network mapping directed graphs by correlating the path trace data using the one or more catalogs, the network mapping directed graphs logically comprising nodes categorized at a plurality of levels of aggregation and edges connecting the nodes; associating, by the process, test-based performance data with the edges of the network mapping directed graphs; and providing, by the process, at least one Sankey diagram based on the network mapping directed graphs and test-based performance data associated with their edges for selectable display by a user interface.

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