Anomaly Detection for Root Cause Analysis in System Logs using Long Short-Term Memory

Anomaly Detection for Root Cause Analysis in System Logs using Long Short-Term Memory

Many software systems are under test to ensure that they function as expected. Sometimes, a test can fail, and in that case, it is essential to understand the cause of the failure. However, as systems grow larger and become more complex, this task can become non-trivial and potentially take much tim...

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Bibliographic Details
Main Author: von Hacht, Johan
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Anomaly detection
Root cause analysis
System logs
Long Short-Term Memory
Machine learning
Anomalidetektion
Grundorsaksanalys
System loggar
Maskininlärning
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301656

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301656

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