Computation offloading becomes useful for users of limited computing power and mobile edge computing (MEC) can help mobile users perform their tasks more effectively. In this paper, we consider MEC when users perform tasks with local data as well as data at cloud storage servers, since users can often keep their data at cloud storage servers or have tasks that need to use public datasets. An optimization problem to minimize the total consumed energy of users as well as a base station (BS) is formulated with a total transmission time constraint, which is solved by converting into multiple binary integer linear programming problems.

翻译：计算卸载对于计算能力有限的用户十分有用，移动边缘计算（MEC）能够帮助移动用户更高效地执行任务。本文研究用户利用本地数据以及云端存储服务器数据执行任务时的MEC场景，因为用户通常可将数据保存至云存储服务器，或需要执行需使用公共数据集的任务。本文构建了一个以总传输时间为约束条件、以最小化用户与基站（BS）总能耗为目标的优化问题，并通过将其转化为多个二进制整数线性规划问题求解。