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Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

机译:雾车辆计算:使用车辆云计算增强雾计算

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摘要

Fog computing has emerged as a promising solution for accommodating the surge of mobile traffic and reducing latency, both known to be inherent problems of cloud computing. Fog services, including computation, storage, and networking, are hosted in the vicinity of end users (edge of the network), and, as a result, reliable access is provisioned to delay-sensitive mobile applications. However, in some cases, the fog computing capacity is overwhelmed by the growing number of demands from patrons, particularly during peak hours, and this can subsequently result in acute performance degradation. In this article, we address this problem by proposing a new concept called fog vehicular computing (FVC) to augment the computation and storage power of fog computing. We also design a comprehensive architecture for FVC and present a number of salient applications. The result of implementation clearly shows the effectiveness of the proposed architecture. Finally, some open issues and envisioned directions are discussed for future research in the context of FVC.
机译:雾计算已经成为解决移动流量激增和减少延迟的有前途的解决方案,这都是云计算固有的问题。包括计算,存储和联网在内的雾服务托管在最终用户(网络边缘)附近,因此,为对延迟敏感的移动应用程序提供了可靠的访问。但是,在某些情况下,雾的计算能力会因顾客需求的增加而无法承受,尤其是在高峰时段,这会导致性能急剧下降。在本文中,我们通过提出一个称为雾车计算(FVC)的新概念来解决此问题,以增强雾计算的计算和存储能力。我们还为FVC设计了一个全面的体系结构,并提出了许多重要的应用程序。实施结果清楚地表明了所提出体系结构的有效性。最后,讨论了一些未解决的问题和预想的方向,以便在FVC的背景下进行进一步的研究。

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