Abstract
The increase of complex data in Vehicular Ad hoc Networks (VANETs) has given rise to the vehicular cloud computing approaches. However, transferring all data to a central cloud data server is not always efficient. For time sensitive applications, it is more beneficial to distribute smaller servers closer to the premises of users. This has led to the emerging of fog and edge computing. In this paper, we propose a fuzzy-based system to assess the data processing capability of fog layer in Software Defined VANETs (SDN-VANETs). Our proposed system determines whether fog computing is appropriate and satisfies certain needs in terms of data processing. The fuzzy-based system is implemented in SDN controllers. When a vehicle needs additional resources, it can send a request to use the available resources of a fog server in its vicinity. However, for a successful data processing, the servers should meet certain requirements. The proposed system takes into consideration the time needed for sending data to the server, the load of the server and the history of previous successful tasks handled by this server. We evaluate the system by computer simulations. Fog layer adequacy is high when vehicle-to-server latency is low, server load is low and server history is very good.
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Qafzezi, E., Bylykbashi, K., Ampririt, P., Ikeda, M., Matsuo, K., Barolli, L. (2022). A Fuzzy-Based System for Assessment of Fog Computing Resources in SDN-VANETs. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_1
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DOI: https://doi.org/10.1007/978-3-031-08819-3_1
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