Abstract
Vehicular Ad hoc Networks (VANETs) face several technical challenges in deployment and management due to poor scalability, flexibility, connectivity and lack of intelligence. The integration of Cloud, Fog and Edge Computing in VANETs together with the use of Software Defined Networking (SDN) are seen as a way to cope with these communication challenges. In this work, we propose a fuzzy-based system for coordination and management of the cloud-fog-edge resources in SDN-VANETs. The proposed system called Fuzzy-based System for Resource Management (FSRM) decides the appropriate resources to be used by a vehicle in a cloud-fog-edge layered architecture. If a task requires computing resources that are beyond of those of the vehicle, based on the decision of FSRM, the vehicle can use the resources of its neighbors, fog or cloud servers. The decision is made by considering the task requirements in terms of latency constrains and complexity, and the available connections of the vehicle. We demonstrate by simulations the feasibility of FSRM to improve the management of the network resources.
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Qafzezi, E., Bylykbashi, K., Ikeda, M., Matsuo, K., Barolli, L., Takizawa, M. (2021). Resource Management in SDN-VANETs Using Fuzzy Logic: Effect of Data Complexity on Coordination of Cloud-Fog-Edge Resources. In: Barolli, L., Poniszewska-Maranda, A., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2020. Advances in Intelligent Systems and Computing, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-50454-0_52
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DOI: https://doi.org/10.1007/978-3-030-50454-0_52
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