作者
Mehdi Sookhak, F Richard Yu, Ying He, Hamid Talebian, Nader Sohrabi Safa, Nan Zhao, Muhammad Khurram Khan, Neeraj Kumar
发表日期
2017/7/27
期刊
IEEE Vehicular Technology Magazine
卷号
12
期号
3
页码范围
55-64
出版商
IEEE
简介
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 …
引用总数
2017201820192020202120222023202432835543620265
学术搜索中的文章
M Sookhak, FR Yu, Y He, H Talebian, NS Safa, N Zhao… - IEEE Vehicular Technology Magazine, 2017