总线网络中具有服务分流的可扩展雾计算

Dongdong Ye, Maoqiang Wu, Shensheng Tang, Rong Yu
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引用次数: 70

摘要

随着移动设备的快速增加,路边云的计算负荷也在快速增长。当路边云的计算任务达到极限时,过载可能会对移动用户产生热辐射问题和不可接受的延迟。在本文中,我们利用总线的特点,提出了一个可扩展的雾计算范式,在总线网络中提供服务卸载。公交雾服务器不仅为公交车上的移动用户提供雾计算服务,而且还会主动完成路边云所卸载的计算任务。通过这种方式,大大扩展了路边云的计算能力。研究了一种基于遗传算法的分配策略。使用这种策略,路边云以最少的成本卸载它们的计算任务。同时,维护移动用户的用户体验。仿真结果验证了该方案的优越性。
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Scalable Fog Computing with Service Offloading in Bus Networks
With the rapid increase of mobile devices, the computing load of roadside cloudlets is fast growing. When the computation tasks of the roadside cloudlet reach the limit, the overload may generate heat radiation problem and unacceptable delay to mobile users. In this paper, we leverage the characteristics of buses and propose a scalable fog computing paradigm with servicing offloading in bus networks. The bus fog servers not only provide fog computing services for the mobile users on bus, but also are motivated to accomplish the computation tasks offloaded by roadside cloudlets. By this way, the computing capability of roadside cloudlets is significantly extended. We consider an allocation strategy using genetic algorithm (GA). With this strategy, the roadside cloudlets spend the least cost to offload their computation tasks. Meanwhile, the user experience of mobile users are maintained. The simulations validate the advantage of the propose scheme.
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