HVC: A Hybrid Cloud Computing Framework in Vehicular Environments

Jingyun Feng, Zhi Liu, Celimuge Wu, Yusheng Ji
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引用次数: 14

Abstract

As increasingly more applications are deployed in vehicles, how to provide the demanded computational capability becomes crucial. This paper proposes the hybrid vehicular cloud (HVC) framework for cloud computing on the road to increase the computational capability of vehicles by using resources from the centralized cloud, RSU, and neighboring vehicles. The proposed scheme can be used as a general framework for all types of applications. It is able to satisfy various types of job requirements, such as real time or host requirements, and it is adaptive to the dynamic vehicular environment. Specifically, this paper defines the procedures to support the autonomous organization of a vehicular cloud. An online scheduling algorithm is proposed to solve the job assignment problem with the objective of processing more jobs and reducing cellular network usage. Extensive simulations are conducted, and the results show the superiority of the proposed scheme over competing schemes in typical urban scenarios.
HVC:汽车环境中的混合云计算框架
随着越来越多的应用程序部署在车辆中,如何提供所需的计算能力变得至关重要。本文提出了道路云计算的混合车辆云(HVC)框架,利用集中式云、RSU和相邻车辆的资源来提高车辆的计算能力。所提出的方案可作为所有类型应用程序的通用框架。它能够满足各种类型的工作要求,如实时性或主机要求,并能适应动态的车辆环境。具体来说,本文定义了支持车辆云自治组织的流程。提出了一种在线调度算法,以处理更多的任务和减少蜂窝网络的使用为目标来解决任务分配问题。仿真结果表明,该方案在典型城市场景下优于竞争方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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