Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System

Microservice architecture has sprung up over recent years for managing enterprise applications, due to its ability to independently deploy and scale services. Despite its benefits, ensuring the reliability and safety of a microservice system remains highly challenging. Existing anomaly detection alg...

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Veröffentlicht in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] S. 66 - 78
Hauptverfasser:	Huang, Jun, Yang, Yang, Yu, Hang, Li, Jianguo, Zheng, Xiao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 11.09.2023
Schlagworte:	anomaly detection Correlation Feature extraction Image edge detection Microservice architectures multi-modal learning Neural networks Source coding system twin graph Transformers
ISSN:	2643-1572
Online-Zugang:	Volltext
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