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基于边缘计算的任务卸载及计算资源定价机制分析

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阐述一种基于斯塔克尔伯格博弈的终端用户开销补偿机制,以及邻近服务器空闲资源定价机制.首先,分别为终端用户、边缘服务器和邻近服务器设计效用函数,将三者之间的交互建模为一个三阶段的斯塔克尔伯格博弈.其次,通过反向推导的方法,使终端用户可获得最大效用的卸载数据数量.在此基础上,进一步得到边缘服务器支付给终端用户的最佳报酬以及最佳租借计算资源数量.最后,通过对邻近服务器的效用分析,使其获得最大效用的单位计算资源价格.仿真实验表明,设计的激励机制能使终端用户、边缘服务器、邻近服务器这三方达成斯塔克尔伯格均衡.
Analysis of Task Offloading Incentive and Computing Resource Pricing Mechanism in Edge Computing
This paper describes aend user cost compensation mechanism based on Stackelberg game and a pricing mechanism for idle resources of nearby servers.Firstly,utility functions are designed for end users,edge servers,and nearby servers,and their interactions are modeled as a three-stage Stackelberg game.Secondly,by backward deduction,the optimal amount of offloaded data that allows the end user to obtain maximum utility is obtained,on which the best reward paid by the edge server to the end users and its optimal amount of leased computing resources are further obtained.Finally,by analyzing the utility of nearby servers,the unit computing resource price that maximizes their utility is obtained.Simulation experiments show that the incentive mechanism designed can achieve Stackelberg equilibrium among end users,edge servers,and nearby servers.

edge computingStackelberg gameresources pricingcomputing offloadingedge servers

王世飞、张庆

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中国科学技术大学计算机科学与技术学院,安徽 230026

边缘计算 斯塔克尔伯格博弈 资源定价 计算卸载 边缘服务器

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(4)