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An Anomaly Detection Algorithm for Microservice Architecture Based on Robust Principal Component Analysis

  • Published:2020 Issue: Volume:8 Page:226397-226408
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Jin MingxuORCID,Lv Aoran,Zhu YuanpengORCID,Wen ZijiangORCID,Zhong Yubin,Zhao Zexin,Wu Jiang,Li Hejie,He Hanheng,Chen Fengyi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Approach for Dynamic Microservices Composition: Harnessing the Power of the PMCE Framework;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

2. An effective failure detection method for microservice-based systems using distributed tracing data;Engineering Applications of Artificial Intelligence;2024-07

3. HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources;ACM Transactions on Software Engineering and Methodology;2024-07

4. Grammar-Based Anomaly Detection of Microservice Systems Execution Traces;Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

5. Architecting ML-enabled systems: Challenges, best practices, and design decisions;Journal of Systems and Software;2024-01
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