所以本文针对单服务器-单用户网络的系统模型研究其任务卸载决策。首先通过介绍移动云计算的发展现状以及面临的重大问题引出移动边缘计算并对其基本概念及优点进行了介绍然后简述了此技术在车联网中的应用场景也提出了面向车联网移动边缘计算存在难题—如何制定卸载决策为此我们考虑一种单服务器-单用户的系统模型并将用户的任务分解为多个子任务以移动车载设备的能耗为约束条件用户的时延为目标函数通过分析提出一种次优卸载方案

This article focuses on the task offloading decision-making in a single-server, single-user network system model. Firstly, the development status and major problems faced by mobile cloud computing are introduced, and mobile edge computing is introduced with its basic concepts and advantages. Then, the application scenarios of this technology in the vehicle network are briefly described, and the existing difficulties in making offloading decisions for mobile edge computing in the vehicle network are pointed out. To solve this problem, a single-server, single-user system model is proposed, and the user's task is decomposed into multiple sub-tasks. The energy consumption of the mobile vehicle device is taken as the constraint condition, and the user's delay is taken as the objective function. A suboptimal offloading scheme is proposed through analysis, and its feasibility is verified through simulation, which can effectively reduce delay and improve user experience