Invention Grant
- Patent Title: Correlation-based multi-source problem diagnosis
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Application No.: US17110438Application Date: 2020-12-03
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Publication No.: US11599404B2Publication Date: 2023-03-07
- Inventor: Yuk L. Chan , Tian Wu , Jia Qi Li , Zhi Shuai Han , Lei Yu , Hong Min , Fan Jing Meng , Abhishek Dokania
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Teddi Maranzano
- Main IPC: G06F11/07
- 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.
Public/Granted literature
- US20220179729A1 CORRELATION-BASED MULTI-SOURCE PROBLEM DIAGNOSIS Public/Granted day:2022-06-09
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