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Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I

Research Article

A Lightweight Network Edge Service-Aware Method for Edge Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-72792-5_3,
        author={Guochun Li and Chuan Liu and Yan Chen and Rui Ma and Xiaolu Chen and Gang Sun},
        title={A Lightweight Network Edge Service-Aware Method for Edge Networks},
        proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I},
        proceedings_a={SIMUTOOLS},
        year={2021},
        month={4},
        keywords={Service-aware Network edge QoS ESN},
        doi={10.1007/978-3-030-72792-5_3}
    }
    
  • Guochun Li
    Chuan Liu
    Yan Chen
    Rui Ma
    Xiaolu Chen
    Gang Sun
    Year: 2021
    A Lightweight Network Edge Service-Aware Method for Edge Networks
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-72792-5_3
Guochun Li1, Chuan Liu2, Yan Chen3, Rui Ma1, Xiaolu Chen3, Gang Sun4
  • 1: State Grid Information and Telecommunication Branch
  • 2: Global Energy Interconnection Research Institute Co., Ltd.
  • 3: State Grid Shanghai Municipal Electric Power Company
  • 4: State Grid Zhejiang Electric Power Co., Ltd.

Abstract

Edge computing is one of the main components of 5 g technology. It is used to adapt to the rapid development of the Internet of things and improve the service quality of the network. The combination of SDN and NFV can improve the flexibility of network service deployment. But at the edge of the network, the change of service will affect the quality of service. Therefore, we need a real-time business change perception system to provide differentiated services to improve the quality of different services. This paper proposes a lightweight service awareness technology based on network edge. This technology is based on the perception of mobile service flow in hierarchical echo state network (ESN). Traffic flow is sensed by discrete echo state network algorithm, and mobile resource scheduling and allocation ability are improved. Finally, the experimental results show that the proposed method can sense the services at the edge of the network, improve the capacity and bandwidth of the network, meet the differentiation of multiple services and QoS.

Keywords
Service-aware Network edge QoS ESN
Published
2021-04-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-72792-5_3
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