REINFORCED MACHINE LEARNING TOOL FOR ANOMALY DETECTION

    公开(公告)号:US20210014102A1

    公开(公告)日:2021-01-14

    申请号:US16507899

    申请日:2019-07-10

    Applicant: SAP SE

    Abstract: In some embodiments, there may be provided a system. The system may be configured to receive web server data indicating a current state of a web server; determine, by a machine learning model and based on the web server data, whether the web server is in a first failure state; generate a first failure state indication for the web server in response to the determination, by the machine learning model, that the web server is in the first failure state; determine, by a forecaster and based on the web server data, whether the web server is in a second failure state; and generate a second failure state indication for the web server in response to the determination, by the forecaster, that the web server is in the second failure state.

    Reinforced machine learning tool for anomaly detection

    公开(公告)号:US11012289B2

    公开(公告)日:2021-05-18

    申请号:US16507899

    申请日:2019-07-10

    Applicant: SAP SE

    Abstract: In some embodiments, there may be provided a system. The system may be configured to receive web server data indicating a current state of a web server; determine, by a machine learning model and based on the web server data, whether the web server is in a first failure state; generate a first failure state indication for the web server in response to the determination, by the machine learning model, that the web server is in the first failure state; determine, by a forecaster and based on the web server data, whether the web server is in a second failure state; and generate a second failure state indication for the web server in response to the determination, by the forecaster, that the web server is in the second failure state.

    Segregation of real time event stream

    公开(公告)号:US10992518B2

    公开(公告)日:2021-04-27

    申请号:US16405882

    申请日:2019-05-07

    Applicant: SAP SE

    Abstract: A method may include segregating an event stream that includes events associated with a cloud-based application hosted on a first remote resource and a second remote resource. The events may include metrics indicative of a state of the first remote resource and/or the second remote resource. The event stream may be segregated into a first child stream including events associated with the first remote resource and a second child stream including events associated with the second remote resource. The first child stream and/or the second child stream may be analyzed to identify a pattern indicative of a fault at the first remote resource and/or the second remote resource. An alert may be sent to in order to notify a client of the fault at the first remote resource and/or the second remote resource. Related systems and articles of manufacture are also provided.

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