中国电机工程学报2023，Vol.43Issue(23)：9020-9032,13.DOI:10.13334/j.0258-8013.pcsee.221697
考虑5G通信负荷协同优化的云边计算网络能量管理模型
Energy Management Model of Cloud-edge Computing Network Considering the Coordinated Optimization of 5G Communication Load
摘要
Abstract
With the development of Internet of Things,data center and 5G network have become heavy load in succession,and bring challenges to the construction of low-carbon network.Reducing the burden of computing network to power grid,improving the proportion of renewable energy consumption and cutting down the electricity purchasing cost are important issues to achieve low-carbon computing.This paper firstly investigate a load dispatch model considering grid,renewable energy,data center and 5G network interaction,and based on the coupling of data-energy flow,a joint task offloading,power control and computing load migration strategy is proposed to realize the transfer and reduction of network energy cost.Then,by considering the coupling among energy,service mechanism and delay,a Stackelberg game-based computing pricing mechanism is studied to encourage the resource sharing between 5G network and data center to reduce the energy cost conjointly.Simulation results show that the proposed strategy can improve the cooperation positivity,reduce the electricity purchasing cost,and lower the burden on power grid efficiently.关键词
5G通信/云边协同/信息能源耦合/经济调度/主从博弈Key words
5G communication/edge-cloud cooperation/information-energy coupling/economic dispatch/Stackelberg game分类
信息技术与安全科学引用本文复制引用
孙毅,陈恺,左强,卢达,杨泓玥,李跃..考虑5G通信负荷协同优化的云边计算网络能量管理模型[J].中国电机工程学报,2023,43(23):9020-9032,13.基金项目
国家电网有限公司科技项目(521500220021).Project Supported by Science and Technology Project of State Grid Corporation of China(521500220021). （521500220021）
