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  • Edge computing node deploym...
    YANG Kai; CHEN Zhong; DENG Xuhui; LIU Bo

    电力工程技术, 03/2023, Letnik: 42, Številka: 2
    Journal Article

    Deploying edge computing nodes on the demand side can effectively reduce the pressure of data transmission and storage of the power network and improve the quality of electric power service. At present, the deployment location of edge nodes is mostly determined from the dimension of grid topology, and the service scope of nodes is defined by the grid method. The working process among nodes is independent. Therefore, the flexibility of the location and capacitydetermination of edge nodes is low, and it may cause waste of equipment computing resources.Therefore, an edge computing node deployment method considering task migration is proposed in this paper. Firstly, an edge computing architecture considering task migration is proposed based on the characteristics of edge devices and the spatial characteristics of residential areas. Secondly, feature data is formed according to spatial information and load characteristics of residential nodes. Then the number, address and service scope of nodes are determined by u