Time Series Anomaly Detection for KPIs Based on Correlation Analysis and HMM

KPIs (Key Performance Indicators) in distributed systems may involve a variety of anomalies, which will lead to system failure and huge losses. Detecting KPI anomalies in the system is very important. This paper presents a time series anomaly detection method based on correlation analysis and HMM. C...

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Autores principales:	Zijing Shang, Yingjun Zhang, Xiuguo Zhang, Yun Zhao, Zhiying Cao, Xuejie Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2021-11-01
Colección:	Applied Sciences
Materias:	convolutional neural network (CNN) temporal convolutional network (TCN) anomaly detection of KPIs hidden Markov model (HMM) correlation analysis
Acceso en línea:	https://www.mdpi.com/2076-3417/11/23/11353
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