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On-demand resource provisioning for vehicular networks using flying fog
Vehicular Communications ( IF 6.7 ) Pub Date : 2020-03-16 , DOI: 10.1016/j.vehcom.2020.100252
Naman Madan , Asad Waqar Malik , Anis Ur Rahman , Sri Devi Ravana

Since the inception of smart cities, vehicular networks has introduced new dimensions for delay-sensitive applications. The use of backend cloud data centers is no longer a viable solution due to incurred latency. Thus, to support such applications, computing devices are placed at edge locations to reduce communication delay improving the quality of service. However, in a congested environment, these locations become overloaded due to a large number of computing requests resulting in degradation of the overall system performance. In this paper, we present a computing framework addressing this problem by introducing the concept of resource allocation and provisioning in the form of flying fog units. The lease period for the allocated resources is defined based on preemptive resource provisioning model. The results demonstrate the effectiveness of the proposed framework compared to baseline approaches with wait times reduced by 9% while improving the system efficiency by 9%.



中文翻译:

使用飞雾的车载网络按需资源配置

自从智慧城市问世以来,车载网络为对延迟敏感的应用引入了新的维度。由于产生延迟,后端云数据中心的使用不再是可行的解决方案。因此,为了支持这样的应用,将计算设备放置在边缘位置以减少通信延迟,从而改善服务质量。但是,在拥挤的环境中,这些位置由于大量的计算请求而变得过载,从而导致整体系统性能下降。在本文中,我们通过介绍资源分配和以飞雾单元形式提供资源的概念,提出了一个解决此问题的计算框架。分配资源的租用期基于抢占式资源供应模型定义。

更新日期:2020-03-16
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