【摘要】 移动应用对计算能力的需求越来越大,然而便携式移动设备的计算能力却是有限的。将任务卸载到附近的由计算机组成的微云上,是减小移动设备中程序系统响应时间的有效方法之一。边缘计算使得计算任务在源头附近就能得到及时处理,是减小系统时延的有效方法。微云技术是边缘计算的重要应用。目前,移动微云卸载技术已经有了诸多的研究成果,但是在给定网络中如何部署微云以优化移动应用性能的问题却很少被关注。文中在无线城域网(Wireless Metropolitan Area Network,WMAN)背景下研究微云部署和用户任务调度方案,并设计算法来解决以下问题:在无线城域网中的用户密集区域部署微云,并在各微云负载均衡的条件下调度用户到部署好的微云。最后进行仿真实验,结果表明所提算法是有效、可行的。更多还原

【Abstract】 The computing capability requirements of mobile applications are becoming increasingly intensive,while the computing capability of transferable mobile devices is limited.In a mobile device,an effective way to reduce the system response time of an application is offloading its task to nearby cloudlet,which consists of clusters of computers.Edge computing enables computational tasks to be processed in time near the source,which is an effective way to reduce system delay.Cloudlet technology is an important application of edge computing.Although there is a great deal of research in mobile cloudlet offloading technology,there has been very little attention paid to how cloudlets should be placed in a given network to optimize mobile application performance.This paper studied cloudlet placement and mobile user task scheduling to the cloudlet in a wireless metropolitanare network(WMAN).This paper devised an algorithm for the problem,which enables the placement of the cloudlets at user dense regions of the WMAN,and scheduled mobile user to the placed cloudlets which balancing their workload.This paper also conducted experiments through simulation.The simulation results indicate that the proposed algorithm is very promising.更多还原