Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching

To ensure the performance of online service systems, their status is closely monitored with various software and system metrics. Performance anomalies represent the performance degradation issues (e.g., slow response) of the service systems. When performing anomaly detection over the metrics, existi...

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Vydané v:	2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) s. 61 - 72
Hlavní autori:	Chen, Zhuangbin, Liu, Jinyang, Su, Yuxin, Zhang, Hongyu, Ling, Xiao, Lyu, Michael R.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 01.05.2022
Predmet:	Adaptation models Adaptive learning Cloud computing Measurement online learning performance anomaly detection Production Software Software algorithms Time series analysis
ISSN:	1558-1225
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