CPU and network traffic anomaly detection method for cloud data center

Author:

Zhu Zheng1,Gu Rongbin2,Pan ChenLing2,Li Youwei3,Zhu Bei3,Li Jing3

Affiliation:

1. Electric Power Research Institute of State Grid Shanghai Electric Power Company, Shanghai, China

2. Information and Communication Company of State Grid Shanghai Electric Power Company, Shanghai China

3. Nanjing University of Aeronautics and Astronautics, Nanjing, JiangSu, China

Publisher

ACM

Reference19 articles.

1. Astrolabe

2. Proceeding of the 7th International Conference on Autonomic Computing Proceeding of the 7th International Conference on Autonomic Computing H Kang H Chen G. Jiang A PeerWatch fault detection and diagnosis tool for virtualized consolidation system [C]

3. Thesis of Shanghai Jiao Tong University Thesis of Shanghai Jiao Tong University D Y Wang Research and implementation of anomaly detection technology for cloud computing[D] 2013

4. Thesis of Huazhong University of Science and Technology Thesis of Huazhong University of Science and Technology D R Li Service Performance Monitoring and Analysis System in Cloud Computing Platform[D] 2012

5. Thesis of Chongqing University Thesis of Chongqing University M W Li Research on Methods for Detecting Virtual Machine Abnormal Behaviors in Cloud Computing Platforms[D] 2014

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1. Swarm learning anomaly detection framework for cloud data center using multi-channel BiWGAN-GTN and CEEMDAN;Digital Communications and Networks;2024-08

2. DeepRest;Proceedings of the Seventeenth European Conference on Computer Systems;2022-03-28

3. Distributed denial‐of‐service attack mitigation in network functions virtualization‐based 5G networks using management and orchestration;International Journal of Communication Systems;2021-04-14

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