A Joint Optimization Algorithm of Resource Allocation for Edge Computing for Communication Networks in Distribution Transformer Area
As more and more power terminal devices are installed to distribution network in distribution transformer area,how to reasonably allocate limited cloud-edge resources has become the key to energy management in the distribution network.This paper proposes a joint optimization algorithm for edge computing resources based on hierarchical partitioning.Firstly,hierarchical analysis method is used to classify tasks.Secondly,task execution delay and energy consumption models are established for the end and edge sides respectively.Furthermore,a joint communication and computing resource allocation algorithm is designed using the particle swarm optimization algorithm to determine the optimal unloading strategy,transmission power,and computing resource allocation scheme.Finally,the simulation results show that it can effectively improve task responsiveness while reducing the total execution cost of the system.
mobile edge computinganalytic hierarchy processexecution costresource allocationtask level
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