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Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings

Research Article

A Network Traffic Measurement Approach for Edge Computing Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-97124-3_3,
        author={Xi Song and Wansheng Cai and Chuan Liu and Dingde Jiang and Liuwei Huo},
        title={A Network Traffic Measurement Approach for Edge Computing Networks},
        proceedings={Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings},
        proceedings_a={SIMUTOOLS},
        year={2022},
        month={3},
        keywords={Edge computing Internet of things Software defined networking},
        doi={10.1007/978-3-030-97124-3_3}
    }
    
  • Xi Song
    Wansheng Cai
    Chuan Liu
    Dingde Jiang
    Liuwei Huo
    Year: 2022
    A Network Traffic Measurement Approach for Edge Computing Networks
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-97124-3_3
Xi Song1, Wansheng Cai2, Chuan Liu3,*, Dingde Jiang4, Liuwei Huo4
  • 1: State Grid Gansu Electric Power CORP.
  • 2: State Grid Electric Power Research Institute
  • 3: Global Energy Interconnection Research Institute Co., Ltd.
  • 4: School of Astronautics and Aeronautic, University of Electronic Science and Technology of China
*Contact email: liuchuan@geiri.sgcc.com.cn

Abstract

Edge computing is one of the key technologies in 5G networks, it can collect and process data on the access network and decrease the transmission load of the network. The data exchange in the Edge computing network Software Defined Networking (SDN) decouples the control plane and forwarding plane in traditional switches and plans to route in the global view, making network management more flexible and efficient. The accurate and comprehensive network traffic measurement is the key to traffic management of edge computing networks. Then, we propose a novel edge computing network traffic measurement approach to SDN. The proposed measurement methods use the in SDN by collecting statistics in OpenFlow-based switch and utilize the LSTM model and GNN method to infer the fine-grained measurement. Then, we construct an objective function to optimize the estimation results. Finally, we conduct a series of simulations to evaluate the performance of the proposed scheme. Simulation results show that our approach is feasible and has low measurement cost.

Keywords
Edge computing Internet of things Software defined networking
Published
2022-03-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-97124-3_3
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