-
公开(公告)号：US11556855B2
公开(公告)日：2023-01-17
申请号：US16882151
申请日：2020-05-22
Applicant: SAP SE
Inventor： Rajendra Kumar , Rahul Choudhary , Seshadri Chatterjee
Abstract: A machine learning model including an autoencoder may be trained based on training data that includes sequences of non-anomalous performance metrics from an information technology system but excludes sequences of anomalous performance metrics. The trained machine learning model may process a sequence of performance metrics from the information technology system by generating an encoded representation of the sequence of performance metrics and generating, based on the encoded representation, a reconstruction of the sequence of performance metrics. An occurrence of the anomaly at the information technology system may be detected based on a reconstruction error present in reconstruction of the sequence of performance metrics. Related systems, methods, and articles of manufacture are provided.
-
公开(公告)号：US20210304067A1
公开(公告)日：2021-09-30
申请号：US16882151
申请日：2020-05-22
Applicant: SAP SE
Inventor： Rajendra Kumar , Rahul Choudhary , Seshadri Chatterjee
Abstract: A machine learning model including an autoencoder may be trained based on training data that includes sequences of non-anomalous performance metrics from an information technology system but excludes sequences of anomalous performance metrics. The trained machine learning model may process a sequence of performance metrics from the information technology system by generating an encoded representation of the sequence of performance metrics and generating, based on the encoded representation, a reconstruction of the sequence of performance metrics. An occurrence of the anomaly at the information technology system may be detected based on a reconstruction error present in reconstruction of the sequence of performance metrics. Related systems, methods, and articles of manufacture are provided.
-
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.
-
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.
-
-
-
Search Results
4
records
(took 0.01 seconds)
