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公开(公告)号：US20200160211A1
公开(公告)日：2020-05-21
申请号：US16198519
申请日：2018-11-21
Applicant: SAP SE
Inventor： Rajendra Kumar , Heinz Wolf , Lohit Kumar A.P , Venkatesh R
Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.
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公开(公告)号：US11106996B2
公开(公告)日：2021-08-31
申请号：US15684796
申请日：2017-08-23
Applicant: SAP SE
Inventor： Helmut Fieres , Jean-Pierre Djamdji , Klaus Dickgiesser , Olena Kushakovska , Venkatesh R
Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.
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公开(公告)号：US20190065985A1
公开(公告)日：2019-02-28
申请号：US15684796
申请日：2017-08-23
Applicant: SAP SE
Inventor： Helmut Fieres , Jean-Pierre Djamdji , Klaus Dickgiesser , Olena Kushakovska , Venkatesh R
Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.
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公开(公告)号：US11823014B2
公开(公告)日：2023-11-21
申请号：US16198519
申请日：2018-11-21
Applicant: SAP SE
Inventor： Rajendra Kumar , Heinz Wolf , Lohit Kumar A. P , Venkatesh R
CPC classification number: G06N20/00 , G06F16/2365 , G06N3/044 , G06N3/08 , G06F16/252
Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.
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