SYSTEM AND METHOD FOR NETWORK ROOT CAUSE ANALYSIS

    公开(公告)号:US20200213181A1

    公开(公告)日:2020-07-02

    申请号:US16816604

    申请日:2020-03-12

    Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.

    PROCESS REPRESENTATION FOR PROCESS-LEVEL NETWORK SEGMENTATION

    公开(公告)号:US20180278498A1

    公开(公告)日:2018-09-27

    申请号:US15467814

    申请日:2017-03-23

    CPC classification number: H04L43/045 H04L43/026 H04L43/08

    Abstract: A application and network analytics platform can capture telemetry (e.g., flow data, server data, process data, user data, policy data, etc.) within a network. The application and network analytics platform can determine flows between servers (physical and virtual servers), server configuration information, and the processes that generated the flows from the telemetry. The application and network analytics platform can compute feature vectors for the processes. The application and network analytics platform can utilize the feature vectors to assess various degrees of functional similarity among the processes. These relationships can form a hierarchical graph providing different application perspectives, from a coarse representation in which the entire data center can be a “root application” to a fine representation in which it may be possible to view the individual processes running on each server.

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