Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion

Accurately diagnosing the fault that causes the failure is crucial for maintaining the reliability of a microservice system after a failure occurs. Mainstream fault diagnosis approaches are data-driven and mainly rely on three modalities of runtime data: traces, logs, and metrics. Diagnosing faults...

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Veröffentlicht in:	Proceedings / International Conference on Software Engineering S. 2613 - 2624
Hauptverfasser:	Duan, Chiming, Yang, Yong, Jia, Tong, Liu, Guiyang, Liu, Jinbu, Zhang, Huxing, Zhou, Qi, Li, Ying, Huang, Gang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 26.04.2025
Schlagworte:	Data integration Data mining Fault diagnosis Feature extraction Hands Measurement Microservice architectures Microservice systems multi-modal data Runtime Semantics
ISSN:	1558-1225
Online-Zugang:	Volltext
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