Cloud-Edge Computing Resource Collaborative Optimization Method for Power Distribution Fault Analysis Service

The cloud-edge computing architecture of distribution network can meet the computing and communication requirements of most novel and traditional distribution services. However, the demand for computing resources of fault service is often greater than the resource capacity of edge computing terminal. Therefore, based on the cloud-edge collaborative architecture, this paper proposes a collaborative optimization method of cloud and edge computing resources for fault service in distribution network. Firstly, this paper elaborates the characteristics of fault service in distribution network, and describes the possibility of cloud-edge collaborative information interaction and microservice offloading based on container technology. Then, a cloud-edge collaborative service computing model and the microservice model of fault service are established. According to the offloading mechanism, a microservice offloading decision optimization model is established, which take the system operation cost and calculation delay as the comprehensive measuring index. Finally, the method proposed in this paper is simulated by MATLAB, and the simulation results show that this method can effectively reduce the microservice response time of distribution network and meet the computing resource requirements of fault service.