On Developing Smart Transportation Applications in Fog Computing Paradigm

N. Giang, Victor C. M. Leung, R. Lea
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引用次数: 46

Abstract

Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufficient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latency-sensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.
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基于雾计算范式的智能交通应用研究
智能交通应用本质上是车辆自组织网络(VANETs)应用的例子,其中移动车辆、路边单元和交通基础设施相互作用,提供增值服务。虽然有大量的研究集中在移动自组网的通信方面,但很少有研究机构针对VANET应用的开发。在流行的VANET应用程序中,一个主要的方向是利用云基础设施来执行和交付应用程序和服务。最近的研究表明,由于车辆的移动性和它们所施加的延迟敏感要求,云计算对于许多VANET应用来说是不够的。为此,雾计算被提议利用更接近网络边缘的计算基础设施来补充云计算,以提供对延迟敏感的应用程序和服务。然而,由于Fog系统的分布式特性,在Fog环境中开发应用程序比在云环境中更具挑战性。在本文中,我们研究了如何根据雾计算方法开发智能交通应用程序,它们的挑战以及从最先进的技术中可能的缓解措施。
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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