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

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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Bibliographic Details
Main Authors: Zijing Shang, Yingjun Zhang, Xiuguo Zhang, Yun Zhao, Zhiying Cao, Xuejie Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
convolutional neural network (CNN)
temporal convolutional network (TCN)
anomaly detection of KPIs
hidden Markov model (HMM)
correlation analysis
Online Access:https://www.mdpi.com/2076-3417/11/23/11353

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