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公开(公告)号：US11599404B2
公开(公告)日：2023-03-07
申请号：US17110438
申请日：2020-12-03
Applicant: International Business Machines Corporation
Inventor： Yuk L. Chan , Tian Wu , Jia Qi Li , Zhi Shuai Han , Lei Yu , Hong Min , Fan Jing Meng , Abhishek Dokania
IPC: G06F11/07 , G06F16/245 , G06Q10/10
Abstract: According to an aspect, a method includes searching for a correlated log identifier in a correlation database based on detecting a metrics-based anomaly. The method also includes providing, in a problem diagnosis, related log information associated with the correlated log identifier based on locating one or more log entries including the correlated log identifier in a same time window as the metrics-based anomaly. The method further includes searching for a correlated metric in the correlation database based on detecting a log-based anomaly and providing, in the problem diagnosis, related metric information associated with the correlated metric based on locating one or more metrics records including the correlated metric in the same time window as the log-based anomaly.
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公开(公告)号：US20220179764A1
公开(公告)日：2022-06-09
申请号：US17110432
申请日：2020-12-03
Applicant: International Business Machines Corporation
Inventor： Yuk L. Chan , Tian Wu , Lei Yu , Jia Qi Li , Zhi Shuai Han , Hong Min , Fan Jing Meng , Abhishek Dokania
Abstract: According to an aspect a computer-implemented method includes identifying a plurality of metrics and log identifiers that describe similar information as a plurality of documentation-based correlation data. One or more metric pair correlations are identified. One or more log frequency correlations are identified by temporal correlation. A plurality of correlated metric-log pairs is identified. A correlation database is populated with the documentation-based correlation data, the one or more metric pair correlations, the one or more log frequency correlations, and the correlated metric-log pairs to support anomaly detection in one or more monitored computer systems.
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公开(公告)号：US20220179729A1
公开(公告)日：2022-06-09
申请号：US17110438
申请日：2020-12-03
Applicant: International Business Machines Corporation
Inventor： Yuk L. Chan , Tian Wu , Jia Qi Li , Zhi Shuai Han , Lei Yu , Hong Min , Fan Jing Meng , Abhishek Dokania
IPC: G06F11/07 , G06F16/245
Abstract: According to an aspect, a method includes searching for a correlated log identifier in a correlation database based on detecting a metrics-based anomaly. The method also includes providing, in a problem diagnosis, related log information associated with the correlated log identifier based on locating one or more log entries including the correlated log identifier in a same time window as the metrics-based anomaly. The method further includes searching for a correlated metric in the correlation database based on detecting a log-based anomaly and providing, in the problem diagnosis, related metric information associated with the correlated metric based on locating one or more metrics records including the correlated metric in the same time window as the log-based anomaly.
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