-
公开(公告)号：US11321164B2
公开(公告)日：2022-05-03
申请号：US16915525
申请日：2020-06-29
发明人： Chris Moss , Simon J. Kofkin-Hansen , Jordan Shamir , Devin Conley , James Patrick Hoff , Iain Mccown , Scott Moonen , Bryan M. Buckland
摘要： A method comprises obtaining a set of log files for a software system. The set of log files applies to an extended window. A periodic pattern in a first set of error-event surges in the set of log files is identified. The error-event surges in the first set is identified as event noise. A second set of log files for the software system is obtained. The second set of log files applies to a shortened window. Timeseries analysis on the second set of log files is performed. A particular error-event surge in a detection period in the second set of log files that is abnormal as compared to the shortened window is detected based on the timeseries analysis. That the particular error-event surge does not fit into the periodic pattern is determined, the particular error-event surge is characterized as an anomaly, based on the determining.
-
公开(公告)号：US20210406106A1
公开(公告)日：2021-12-30
申请号：US16915525
申请日：2020-06-29
发明人： Chris Moss , Simon J. Kofkin-Hansen , Jordan Shamir , Devin Conley , James Patrick Hoff , Iain Mccown , Scott Moonen , Bryan M. Buckland
摘要： A method comprises obtaining a set of log files for a software system. The set of log files applies to an extended window. A periodic pattern in a first set of error-event surges in the set of log files is identified. The error-event surges in the first set is identified as event noise. A second set of log files for the software system is obtained. The second set of log files applies to a shortened window. Timeseries analysis on the second set of log files is performed. A particular error-event surge in a detection period in the second set of log files that is abnormal as compared to the shortened window is detected based on the timeseries analysis. That the particular error-event surge does not fit into the periodic pattern is determined, the particular error-event surge is characterized as an anomaly, based on the determining.
-
公开(公告)号：US20210406112A1
公开(公告)日：2021-12-30
申请号：US16915567
申请日：2020-06-29
发明人： Chris Moss , Simon J. Kofkin-Hansen , Jordan Shamir , Devin Conley , James Patrick Hoff , Iain Mccown , Scott Moonen , Bryan M. Buckland
IPC分类号： G06F11/07 , G06K9/62 , G06N5/02 , G06F40/279
摘要： A method comprises receiving a set of log files that correspond to a detected anomaly in a software system. The set of log files are input into a first classification algorithm. A set of classified log events is received from the first classification algorithm. The set of classified log events is input into a second classification algorithm. A classification of the detected anomaly is obtained from the second classification algorithm.
-
-
搜索结果
3 条记录 (耗时 0.014 秒)
