SMART SELF-HEALING SERVICE FOR DATA ANALYTICS SYSTEMS

    公开(公告)号:US20180150342A1

    公开(公告)日:2018-05-31

    申请号:US15361731

    申请日:2016-11-28

    Applicant: SAP SE

    Abstract: Methods, systems, and computer-readable storage media for automatically detecting potential performance degradation in a data analytics system including multiple servers, actions include determining a threshold performance score for each server of the multiple servers during an initial period, the threshold performance scores being determined at least partially based on a report generated by a respective server, and, after the initial period, and for each server: intermittently calculating a performance score, comparing the performance score to the threshold performance score to determine whether a violation indicating performance degradation occurs, and transmitting a notification to report consecutive violations.

    Smart self-healing service for data analytics systems

    公开(公告)号:US10684933B2

    公开(公告)日:2020-06-16

    申请号:US15361731

    申请日:2016-11-28

    Applicant: SAP SE

    Abstract: Methods, systems, and computer-readable storage media for automatically detecting potential performance degradation in a data analytics system including multiple servers, actions include determining a threshold performance score for each server of the multiple servers during an initial period, the threshold performance scores being determined at least partially based on a report generated by a respective server, and, after the initial period, and for each server: intermittently calculating a performance score, comparing the performance score to the threshold performance score to determine whether a violation indicating performance degradation occurs, and transmitting a notification to report consecutive violations.

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