3 citations · 9 across the 4 of their papers we have counts for
4 papers
Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning
Yuqing Wang, Mika V. Mäntylä, Serge Demeyer +3
Microservice-based systems (MSS) may fail with various fault types. While existing AIOps methods excel at detecting abnormal traces and locating the responsible service(s), human e…
Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs
Jesse Nyyssölä, Mika Mäntylä
Software log analysis can be laborious and time consuming. Time and labeled data are usually lacking in industrial settings. This paper studies unsupervised and time efficient meth…
LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector
Mika Mäntylä, Yuqing Wang, Jesse Nyyssölä
This paper introduces LogLead, a tool designed for efficient log analysis benchmarking. LogLead combines three essential steps in log processing: loading, enhancing, and anomaly de…
How to Configure Masked Event Anomaly Detection on Software Logs?
Jesse Nyyssölä, Mika Mäntylä, Martín Varela
Software Log anomaly event detection with masked event prediction has various technical approaches with countless configurations and parameters. Our objective is to provide a basel…