Towards Resilient Adaptive Vehicular Fog Computing

Muhammad Magdy Sayed, Mona S. Kashkoush, Mohamed Azab · 2020

Vehicles have seen a tremendous development in their capabilities, equipped by many sensors, high computational resources and became smarter than the past. To best utilize the vehicles resources, Vehicular fog computing (VFC) was introduced as a platform for resource sharing. VFC followed the traditional cloud model in many aspects. However, the major challenge facing VFC was infrastructure stability. unpredictable and unplanned arrive and departure of involved vehicles in VFC have a big effect in the system reliability and task completion time. In this paper, we proposed a reliable mitigation for abrupt vehicle departure by live task migration to induce fault tolerant VFC platform capable of hosting state-full and stateless applications. Results showed that the proposed system had a massive positive impact on the task execution time of a fast departing VFC.

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