车载雾计算:愿景与挑战

Yu Xiao, Chao Zhu
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引用次数: 99

摘要

新兴的汽车应用程序需要更多的计算和通信能力,以便在计算密集型和延迟敏感的任务中脱颖而出。雾计算侧重于将计算资源移动到网络边缘,通过解决延迟限制和减少进入云的流量来补充云计算。本文提出了一种具有远见的车载雾计算概念,将联网车辆转变为移动雾节点,并利用车辆的移动性为车载应用提供经济高效的按需雾计算。除系统设计外,本文还讨论了尚需解决的技术难题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicular fog computing: Vision and challenges
The emerging vehicular applications demand for a lot more computing and communication capacity to excel in their compute-intensive and latency-sensitive tasks. Fog computing, which focuses on moving computing resources to the edge of networks, complements cloud computing by solving the latency constraints and reducing ingress traffic to the cloud. This paper presents a visionary concept on vehicular fog computing that turns connected vehicles into mobile fog nodes and utilises mobility of vehicles for providing cost-effective and on-demand fog computing for vehicular applications. Besides system design, this paper also discusses the remained technical challenges.
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