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A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis
2021
Entropy
Advances in technology and computing power have led to the emergence of complex and large-scale software architectures in recent years. However, they are prone to performance anomalies due to various reasons, including software bugs, hardware failures, and resource contentions. Performance metrics represent the average load on the system and do not help discover the cause of the problem if abnormal behavior occurs during software execution. Consequently, system experts have to examine a massive
doi:10.3390/e23081011
fatcat:dkkv7nv47reulcdr3u7ob65jn4