A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures

A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures

Software aging is a phenomenon referring to the performance degradation of a long-running software system. This phenomenon is an accumulative process during execution, which will gradually lead the system from a normal state to a failure-prone state. It is a crucial challenge for system reliability...

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Bibliographic Details
Main Authors:	Shuguang Wang, Minyan Lu, Shiyi Kong, Jun Ai
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Entropy
Subjects:	software aging failure prediction anomaly detection machine learning
Online Access:	https://www.mdpi.com/1099-4300/22/11/1225

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