关键词: 移动边缘计算, 计算卸载, 遗传算法, 服务工作流

Abstract: Mobile Edge Computing（MEC） moves computation and storage resources to the edge of the mobile network, enabling it to run applications that require high processing at the mobile device while meeting stringent delay requirements. This paper considers the issue of mobile computing offloading, in which multiple mobile services in a workflow can be invoked to meet their complex needs and decide whether to uninstall workflow services, taking into account the dependencies between the component services, and aims to optimize the execution time and energy consumption of executing mobile services. A GA-based algorithm is applied to the above problems. After design and implementation, it partially modifies the traditional genetic algorithm to meet special requirements for the problem. Simulation experiments show that the experimental results of GA algorithm are better than Local Execution algorithm and RANDOM algorithm.

Key words: mobile edge computing, computation offloading, Genetic Algorithm（GA）, service workflow