摘要
移动边缘计算正在成为一种流行的计算范式,将云上的服务执行扩展到网络边缘。移动边缘计算可为资源受限的移动设备提供对网络边缘资源的低延迟访问。这些设备的移动性给目标微云分配带来了巨大挑战。为了向移动用户提供低延迟的服务,本文考虑了用户的移动性,研究了边缘计算中的目的地微云选择问题。针对该问题,本文提出了最低本地等待时间算法,该算法在目标小云选择过程中考虑了传输时间、计算时间、选择时间和用户位置。仿真结果表明,与现有算法相比,该算法为移动用户提供了最低的服务等待时间。
Mobile edge computing is emerging as a popular computing paradigm,which extends the service execution on cloud to the edge of network.Mobile edge computing provides low latency access to resources at the edge of the network for resourceconstrained mobile devices.The mobility of these devices brings great challenges in destination cloudlet allocation.In order to provide low latency service for mobile users,this paper studies the destination cloudlet selection problem in edge computing considering the users’mobility.This paper proposes lowest local latency algorithm for this problem,which considers transmission time,computing time,selection time and user’s position in the process of destination cloudlet selection.Simulation results demonstrate that the proposed algorithm provides the lowest service latency for mobile users compared with existing algorithms.
作者
任子斌
REN Zibin(School of Computer Science and Technology,Donghua University,Shanghai 201620,China)
出处
《智能计算机与应用》
2020年第2期142-144,150,共4页
Intelligent Computer and Applications
关键词
目标微云选择
服务延迟
移动用户
微云
移动边缘计算
destination cloudlet selection
service latency
mobile user
cloudlet
mobile edge computing
