Abstract
Fog computing is a promising solution that was conceived to overcome the delay constraints and excessive use of radio resources required to access the cloud. It consists in bringing the cloud to the network edge to reduce latency and optimize the bandwidth usage. Recently, this concept has been extended to vehicular networks, named vehicular fog computing. A set of architectures were proposed to investigate the fog paradigm in the vehicular context. In this paper, we overview the different vehicular fog architectures. Then, we suggest a taxonomy of vehicular fog computing based on a set of parameters. Finally, we discuss challenges that affect its deployment.
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Mekki, T., Jabri, I., Chaari, L., Rachedi, A. (2020). A Survey on Vehicular Fog Computing: Motivation, Architectures, Taxonomy, and Issues. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_15
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DOI: https://doi.org/10.1007/978-3-030-44038-1_15
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