Behavior-aware approach to multi-module logs in multi-source operating data based on IT infrastructure
A technology for operating data and infrastructure, applied in the field of log clustering, which can solve problems such as lack of behavior perception methods for log modules, poor applicability, and inability to discover the potential role of log timing information well
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[0040] In this embodiment, a log in a behavior-aware method for multi-module logs in multi-source operating data based on IT infrastructure is composed of n time-series relationship log entries. The system log when the alarm center starts, and the collection of n log entries according to the order of time sequence is recorded as I={I 1 , I 2 ,...,I i ,...,I n}, where, I i Indicates the i-th log entry in the log, and the i-th log I i There are K features, 1≤i≤n, that is, the system log contains n log entries, and the form of each entry is similar to: ([2018-03-2212:33:26,144], UE-ALARM-CENTER, INFO, pool- 2-thread-40,ModuleXMLwebApplicationContext:495,Dynamic-Module[com.sgcc.uap.cache]: Spring container initialization starts), then the K value here is 6; the multi-module contained in the definition log is N={N 1 ,N 2 ,...,N j ,...,N m}; N j Indicates the jth module in the log, and each module corresponds to a module name, 1≤j≤m, for example, com.sgcc.uap.cache is a mod...
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