大规模部署Cloudlets实现高效移动云计算

L. Tawalbeh, Y. Jararweh, Fadi Ababneh, Fahd Dosari
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引用次数: 64

摘要

人们对使用移动云计算(MCC)进行计算密集型移动设备工作(如多媒体应用程序)的兴趣一直在增长。事实上,为了在云系统覆盖范围内最大限度地将移动密集型工作卸载到云上,已经投入了许多新的研究工作。然而,没有考虑大规模MCC部署的挑战和限制。本文介绍了一种基于cloudlet的MCC系统的大规模部署,旨在降低多媒体应用在使用MCC时的功耗和网络延迟。拟议的部署提供了一个大的覆盖区域,当移动设备从一个位置移动到另一个位置时,可以使用它来减少宽带通信需求。实际实验结果和仿真结果表明,该模型在满足移动用户的高质量服务需求的同时,降低了移动设备的功耗,降低了移动设备请求远程完成任务时的通信延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large Scale Cloudlets Deployment for Efficient Mobile Cloud Computing
Interest in using Mobile Cloud Computing (MCC) for compute intensive mobile devices jobs such as multimedia applications has been growing. In fact, many new research efforts were invested to maximize the mobile intensive jobs offloading to the cloud within the cloud system coverage area. However, a large scale MCC deployment challenges and limitations are not considered. In this paper, a large scale Cloudlet-based MCC system deployment is introduced, aiming at reducing the power consumption and the network delay of multimedia applications while using MCC. The proposed deployment offers a large coverage area that can be used by mobile devices while they are moving from one location to another to reduce broadband communication needs. Practical experimental results and simulated results using show that using the proposed model reduces the power consumption of the mobile devices as well as reducing the communication latency when the mobile device requests a job to be performed remotely while satisfying the high quality of service requirements of mobile users.
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