秦强, 刘文泽, 谭炜豪, 蔡泽祥, 岑伯维, 匡佩. 面向软件定义网络的配电边缘计算终端优化部署方法[J]. 电力建设, 2023, 44(1): 82-90.
引用本文: 秦强, 刘文泽, 谭炜豪, 蔡泽祥, 岑伯维, 匡佩. 面向软件定义网络的配电边缘计算终端优化部署方法[J]. 电力建设, 2023, 44(1): 82-90.
QIN Qiang, LIU Wen-ze, TAN Wei-hao, CAI Ze-xiang, CEN Bo-wei, KUANG Pei. An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network[J]. Electric Power Construction, 2023, 44(1): 82-90.
Citation: QIN Qiang, LIU Wen-ze, TAN Wei-hao, CAI Ze-xiang, CEN Bo-wei, KUANG Pei. An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network[J]. Electric Power Construction, 2023, 44(1): 82-90.

面向软件定义网络的配电边缘计算终端优化部署方法

An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network

  • 摘要: 为增强配用电物联网的业务支撑能力以及节省经济成本,提出了一种面向软件定义网络(software defined network, SDN)的配电边缘计算终端优化部署方法。电力无线专网基站具有丰富的数据流与业务流,利用无线基站站址部署配电边缘计算终端具有显著的优势。首先,介绍了面向软件定义网络的配用电物联网边缘计算架构,建立了配用电物联网的业务、智能终端和边缘计算终端等要素模型。进一步,考虑边缘计算终端、智能终端以及SDN控制器的通信方式约束、边缘计算终端的服务延时和硬件配置约束,以年均设备成本和年均运行成本之和为目标,建立了配电边缘计算终端优化部署模型。最后,基于多场景的算例仿真结果验证了所提方法的有效性。

     

    Abstract: In order to enhance the business support ability and save economic cost of power distribution internet of things, this paper proposes an optimal deployment method of the distribution edge computing terminals for software defined network(SDN). Base stations of power wireless private network are rich in data flow and service flow. Using the location of wireless base stations to deploy distribution edge computing terminals has significant advantages. This paper introduces the edge computing architecture of power distribution internet of things for software defined network, and establishes the models of business, intelligent terminal and edge computing terminal. Further, considering the communication mode constraints of edge computing terminal, intelligent terminal and SDN controller, and the constraints of service delay and hardware configuration of edge computing terminal, aiming at the sum of annual average equipment cost and annual average operation cost, this paper establishes an optimal deployment model of distribution edge computing terminals. Finally, the effectiveness of the proposed method is verified by the simulation results of a multi-scenario example.

     

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