FRAMEWORK FOR AUTOMATED APPLICATION-TO-NETWORK ROOT CAUSE ANALYSIS

    公开(公告)号:US20240007342A1

    公开(公告)日:2024-01-04

    申请号:US18345422

    申请日:2023-06-30

    CPC classification number: H04L41/0631 H04L41/16

    Abstract: A computing system comprising a memory and processing circuitry may perform the techniques. The memory may store time series data comprising measurements of one or more performance indicators. The processing circuitry may determine, based on the time series data, an anomaly in the performance of the network system, and create, based on the time series data, a knowledge graph. The processing circuitry may determine, in response to detecting the anomaly, and based on the knowledge graph and a machine learning (ML) model trained with previous time series data, a causality graph. The processing circuitry may determine a weighting for each edge in the causality graph, determine, based on the edges in the causality graph, a candidate root cause associated with the anomalies, and determine a ranking of the candidate root cause based on the weighting. The analysis framework system may output at least a portion of the ranking.

    ASSESSMENT OF OPERATIONAL STATES OF A COMPUTING ENVIRONMENT

    公开(公告)号:US20190268228A1

    公开(公告)日:2019-08-29

    申请号:US16410626

    申请日:2019-05-13

    Abstract: A system that permits or otherwise facilitates assessment of operational state of a computing component in a computing environment. In one example, this disclosure describes a method that includes collecting, by a server device that is executing within a server device cluster, metric information indicative of an operational state of the server device, wherein the metric information is associated with a plurality of virtual computing instances executing on the server device; analyzing, by the server device and based on the metric information, whether a first condition associated with a first virtual computing instance is satisfied; analyzing, by the server device and based on the metric information, whether a second condition associated with a second virtual computing instance is satisfied; and updating control information characterizing the operational state of the server device executing within the server device cluster.

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