Graph neural network based robust anomaly detection at service level in SDN driven microservice system-Reference-Cited by-同舟云学术

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Graph neural network based robust anomaly detection at service level in SDN driven microservice system

Published:2024-02 Issue: Volume:239 Page:110135
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Chen Hongyang^ORCID,Chen Pengfei^ORCID,Wang Benran,Yu Xian,Chen Xiaofan,Ma Dandan,Zheng Zibin^ORCID

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference88 articles.

1. DeepTraLog: Trace-log combined microservice anomaly detection through graph-based deep learning;Zhang,2022

2. Docker, https://www.docker.com/.

3. Kubernetes, https://kubernetes.io/.

4. Docker Swarm, https://docs.docker.com/engine/swarm/.

5. Overload control for scaling WeChat microservices;Zhou,2018

Cited by 1 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. Autoencoder-based Anomaly Detection in Microservices using Distributed Tracing;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

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