Self-Supervised Spatio-Temporal Representation Learning for Microservice Anomaly Detection

Yiming Li; Yuchun Guo; Yishuai Chen; Zhong Cao; Shuowen Liang

doi:10.1109/wccct65447.2025.11027933

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JOURNAL ARTICLE

Self-Supervised Spatio-Temporal Representation Learning for Microservice Anomaly Detection

Yiming Li Yuchun Guo Yishuai Chen Zhong Cao Shuowen Liang

Year: 2025 Pages: 278-284

DOI: 10.1109/wccct65447.2025.11027933

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Keywords:

Anomaly detection Computer science Representation (politics) Artificial intelligence Anomaly (physics) Supervised learning Pattern recognition (psychology) Artificial neural network

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Topics

Software System Performance and Reliability

Physical Sciences → Computer Science → Computer Networks and Communications

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Self-Supervised Spatio-Temporal Representation Learning for Microservice Anomaly Detection

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