Abstract
In this paper, we propose a fuzzy based system to determine the processing capability of neighboring vehicles in Software Defined Vehicular Ad hoc Networks (SDN-VANETs). The computational, networking and storage resources of vehicles comprise the Edge Computing resources in a layered Cloud-Fog-Edge architecture. A vehicle which needs additional resources to complete certain tasks and process various data is guided to perform these actions in edge, fog or cloud layer by a system we have previously proposed, based on the application requirements and available connections. Our newly proposed system assesses the edge layer computing resources that can be used by this vehicle. The assessment is made based on the available resources of the neighbors and the predicted contact duration between them and the vehicle. Our system takes also into account the neighbors willingness to share their resources and determines the processing capability for each neighbor. We evaluate the system by computer simulations. Potential neighbors which can help the vehicle process and complete the tasks are the ones that are predicted to be within the vehicle communication range for a while and have medium/large amount of available resources.
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Qafzezi, E., Bylykbashi, K., Ampririt, P., Ikeda, M., Barolli, L., Takizawa, M. (2021). A Fuzzy-Based System for Assessment of Available Edge Computing Resources in a Cloud-Fog-Edge SDN-VANETs Architecture. In: Barolli, L., Li, K., Enokido, T., Takizawa, M. (eds) Advances in Networked-Based Information Systems. NBiS 2020. Advances in Intelligent Systems and Computing, vol 1264. Springer, Cham. https://doi.org/10.1007/978-3-030-57811-4_2
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DOI: https://doi.org/10.1007/978-3-030-57811-4_2
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