电力信息与通信技术2024，Vol.22Issue(4)：70-76,7.DOI:10.16543/j.2095-641x.electric.power.ict.2024.04.08
面向台区通信网的边缘通算资源联合优化算法
A Joint Optimization Algorithm of Resource Allocation for Edge Computing for Communication Networks in Distribution Transformer Area
摘要
Abstract
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.关键词
移动边缘计算/层次分析法/执行成本/资源分配/任务等级Key words
mobile edge computing/analytic hierarchy process/execution cost/resource allocation/task level分类
信息技术与安全科学引用本文复制引用
蒋政,罗威,殷炜俊,顾辉..面向台区通信网的边缘通算资源联合优化算法[J].电力信息与通信技术,2024,22(4):70-76,7.基金项目
国家电网有限公司总部科技项目资助"电力 5G MEC关键技术研究及应用"(5700-202158447A-0-0-00)｡ （5700-202158447A-0-0-00）
