Towards Resilient Adaptive Vehicular Fog Computing

M. M. Sayed, Mona S. Kashkoush, M. Azab
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引用次数: 1

Abstract

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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面向弹性自适应车辆雾计算
车辆的功能有了巨大的发展,配备了许多传感器,高计算资源,变得比过去更智能。为了更好地利用车辆资源,引入了车辆雾计算(vehicle fog computing, VFC)作为资源共享平台。VFC在很多方面遵循了传统的云模型。然而,VFC面临的主要挑战是基础设施的稳定性。VFC中涉及车辆的不可预测和计划外到达和离开对系统可靠性和任务完成时间有很大影响。在本文中,我们提出了一种可靠的缓解车辆突然偏离的实时任务迁移方法,以诱导能够承载全状态和无状态应用的容错VFC平台。结果表明,该系统对快速离场VFC的任务执行时间有显著的正向影响。
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