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Analyzing raw log files to find execution anomalies
Published on 2017-12-08958 Views
Anomaly detection (a.k.a. outlier detection) is the identification of events that do not conform to an expected pattern in a dataset. When applied to monitoring modern, complex IT systems, it keeps tr
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Presentation
Analyzing raw log files to find execution anomalies00:00
Overview00:22
Anomaly detection00:47
Anomaly detection - challenges03:05
General streaming algorithm05:23
Log file analysis06:26
Algorithm08:08
Pipeline09:11
Algorithm parameters10:36
Anomaly wxplanation11:59
Evaluation13:10
Evaluation - synthetic data13:58
Evaluation - web-server logs15:33
Future work16:29