An unsupervised concept drift-aware anomaly detection system for microservices applications on Kubernetes

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Kostandinos Myrtollari, Charalampos Andreou, Kakia Panagidi, Stathes P. Hadjiefthymiades
DOI: 10.2139/ssrn.6367394
Cited by: 0
References: 8

Fields of Study & Subjects

Software System Performance and Reliability Anomaly Detection Techniques and Applications Cloud Computing and Resource Management

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint