Virtual Power Plant Analysis Task Offloading Strategy Based on Delay and Task Requirements in Cloud Edge Collaboration System

In the virtual power plant scheduling system based on cloud edge collaboration, the edge computing effectively alleviates the computing pressure. And the effective computing offloading strategy can provide better analysis services. A virtual power plant analysis task offloading strategy based on delay and task requirements in cloud edge collaboration system is proposed in this paper. Analysis tasks in the edge cluster are realized by Docker containers. The completed information is sent up after the container calculation is completed. The same type of analysis tasks are unloaded to the container that has just completed the calculation according to the transmission delay. For tasks that need to build a new container, it is unloaded to the edge cluster server with the most abundant resources according to the different memory, storage and CPU requirements of the task. The strategy can improve the efficiency of analysis task execution. Its feasibility and advantage are verified by application example.