计算机工程与应用2019，Vol.55Issue(2)：36-43,8.DOI:10.3778/j.issn.1002-8331.1806-0139
移动边缘计算环境下服务工作流的计算卸载
Computation Offloading for Service Workflow in Mobile Edge Computing
摘要
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 require-ments. 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 de-pendencies between the component services, and aims to optimize the execution time and energy consumption of execut-ing 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.关键词
移动边缘计算/计算卸载/遗传算法/服务工作流Key words
mobile edge computing/computation offloading/Genetic Algorithm(GA)/service workflow分类
信息技术与安全科学引用本文复制引用
董浩,张海平,李忠金,刘辉..移动边缘计算环境下服务工作流的计算卸载[J].计算机工程与应用,2019,55(2):36-43,8.基金项目
国家自然科学基金(No.61102144) （No.61102144）
陕西省教育厅专项科研计划资助项目(No.18JK0393) （No.18JK0393）
陕西省大学生创新创业训练计划项目(No.201710702066) （No.201710702066）
西安工业大学研究生教改项目(No.2017033) （No.2017033）
西安工业大学校长基金(No.XAGDXJJ17028). （No.XAGDXJJ17028）
