An Anomaly Detection Method Based on Adaptive Log and Dual Feature Fusion Analysis for Distributed Systems-Reference-Cited by-同舟云学术

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An Anomaly Detection Method Based on Adaptive Log and Dual Feature Fusion Analysis for Distributed Systems

Published:2023-07-30 Issue: Volume: Page:111-114
ISSN:
Container-title:2023 11th International Conference on Information Systems and Computing Technology (ISCTech)
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Author:

Jia Yijiang¹,Li Kefei²,Lu Ping¹,Xie Baodi³,Wang Huayang³,Chen Jincai²

Affiliation:

1. Huazhong University of Science and Technology,School of Computer Science and Technology,Wuhan,China

2. Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics,Wuhan,China

3. National Key Laboratory of Modeling and Simulation for Complex Systems,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10438204/10438228/10438267.pdf?arnumber=10438267

Reference16 articles.

1. Latent error prediction and fault localization for microservice applications by learning from system trace logs

2. Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis

3. Log Discovery for Troubleshooting Open Distributed Systems with TLQ

4. lprof: A non-intrusive request flow profiler for distributed systems;Zhao

5. PADLA: A Dynamic Log Level Adapter Using Online Phase Detection

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