斯塔克伯格竞赛
博弈论
计算机科学
GSM演进的增强数据速率
服务器
服务(商务)
任务(项目管理)
服务提供商
服务质量
计算机网络
边缘计算
分布式计算
人工智能
数理经济学
经济
微观经济学
经济
管理
数学
作者
Feng Zeng,Yaojia Chen,Lan Yao,Jinsong Wu
标识
DOI:10.1007/s12083-020-00985-4
摘要
Service caching can improve the QoS of computationally intensive vehicle applications by pre-storing the necessary application programs and related data for computing tasks on edge servers. In this paper, we propose a new vehicle edge computing framework based on software defined networks, which introduces the reputation to measure the contribution of each vehicle as the basis for providing different quality of services. The process is divided into two phases: in the first phase, the vehicle requests the offload application task from the edge server; and in the second phase, the edge server makes the service caching decision after processing the task. We design the whole interaction process as a kind of incentive mechanism based on reputation via using Stackelberg game modeling, and analyze the optimal strategy for both sides of the game by reverse induction. Furthermore, we also prove the existence and uniqueness of Stackelberg equilibrium in two-stage game, and a genetic optimization algorithm is designed to quickly obtain the optimal strategy for both sides of the game. Experimental results show that the proposed scheme not only brings more profits to the edge server side, but also reduces the average delay by 76 % compared with the ordinary mobile edge computing scheme.
科研通智能强力驱动
Strongly Powered by AbleSci AI