Integrated statistical log data mining for mean time auto-resolution

    公开(公告)号:US10528407B2

    公开(公告)日:2020-01-07

    申请号:US15701468

    申请日:2017-09-12

    Applicant: VMWARE, INC.

    Abstract: A method may include generating, by a diagnosis manager, a plurality of pre-processed files based on a plurality of log files containing operational information related to one or more of the plurality of modules operating in the cloud environment. The method may include generating a set of weightage matrices based on a plurality of tokens extracted from the plurality of pre-processed files, and identifying a plurality of clusters based on the set of weightage matrices. The method may further include determining, by a resolution manager coupled with the diagnosis manager, an operational issue for a specific module selected from the plurality of modules and associated with a specific cluster selected from the plurality of clusters, based on the subset of tokens associated with the specific cluster; and performing a predefined action on the specific module based on the operational issue.

    INTEGRATED STATISTICAL LOG DATA MINING FOR MEAN TIME AUTO-RESOLUTION

    公开(公告)号:US20190026174A1

    公开(公告)日:2019-01-24

    申请号:US15701468

    申请日:2017-09-12

    Applicant: VMWARE, INC.

    Abstract: System and methods for automatically diagnosing and resolving operational issues in a cloud environment are described. A method may include generating, by a diagnosis manager, a plurality of pre-processed files based on a plurality of log files. Each of the plurality of log files contains operational information related to one or more of the plurality of modules operating in the cloud environment. The method may include generating a set of weightage matrices based on a plurality of tokens extracted from the plurality of pre-processed files, and identifying a plurality of clusters based on the set of weightage matrices. The method may further include determining, by a resolution manager coupled with the diagnosis manager, an operational issue for a specific module selected from the plurality of modules and associated with a specific cluster selected from the plurality of clusters, based on the subset of tokens associated with the specific cluster; and performing a predefined action on the specific module based on the operational issue.

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