以用户为中心的协同MEC业务卸载
User-Centric Cooperative MEC Service Offloading
摘要：
移动边缘计算为用户提供了一个接近无线网络边缘的云环境，支持具有低延迟要求的计算密集型应用。卸载与无线通信的结合带来了新的挑战。本文研究了以用户为中心的无线网络中长期服务卸载过程中的服务缓存问题。针对典型用户时变业务需求，提出了一种以基站簇为单位的协同业务缓存策略。首先将缓存问题转化为时间平均完成延迟最小化问题，并将其转化为具有虚拟缓存代价队列的时间解耦瞬时问题。然后，我们提出了一个分布式算法，这是基于共识共享交替方向法的乘子，以解决每个瞬时问题。仿真结果表明，所提出的在线分布式服务缓存算法能够以最小的缓存代价实现以BS簇为单位的最优任务卸载时间平均完成延迟.
英文摘要：
Mobile edge computing provides users with a cloud environment close to the edge of the wireless network, supporting the computing intensive applications that have low latency requirements. The combination of offloading with the wireless communication brings new challenges. This paper investigates the service caching problem during the long-term service offloading in the user-centric wireless network. To meet the time-varying service demands of a typical user, a cooperative service caching strategy in the unit of the base station (BS) cluster is proposed. We formulate the caching problem as a time-averaged completion delay minimization problem and transform it into time-decoupled instantaneous problems with a virtual caching cost queue at first. Then we propose a distributed algorithm which is based on the consensus-sharing alternating direction method of multipliers to solve each instantaneous problem. The simulations validate that the proposed online distributed service caching algorithm can achieve the optimal time-averaged completion delay of offloading tasks with the smallest caching cost in the unit of a BS cluster.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
