ThinGs In a Fog: System Illustration with Connected Vehicles
ThinGs In a Fog: System Illustration with Connected Vehicles
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迷雾中的事物：联网车辆的系统图解
DOI：
10.1109/vtcspring.2017.8108558
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Jim Martin
中科院分区：
文献类型：
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作者：
Anjan Rayamajhi;Mizanur Rahman;Manveen Kaur;Jianwei Liu;M. Chowdhury;Hongxin Hu;Jerome McClendon;Kuang;A. Gosain;Jim Martin
本文介绍了雾中的事物（TGIF）——一个旨在支持物联网广泛背景下的跨学科研究的系统。该框架基于边缘计算系统设计，利用云到边缘的地理计算位置多样性，将应用程序处理分发到系统计算节点，以支持可能具有实时限制的机器对机器交互。为了提供更深入的见解，我们将互联汽车作为一个范例应用领域。本文提供了迄今为止的工作总结，包括在克莱姆森大学部署的一个小型原型系统的结果。我们通过介绍排队警告系统的设计、实现和评估工作来说明这个系统，这是一个已经被运输界彻底研究过的应用程序。这个特殊的应用程序非常适合说明在新兴的分布式计算环境中实现易于理解的应用程序所带来的额外好处和复杂性，这些环境预计将由物联网支持。
This paper presents ThinGs In a Fog (TGIF)- a system designed to support interdisciplinary research that fall under the broad context of the Internet of Things. The framework is based on an Edge Computing system design that distributes application processing to system compute nodes leveraging geographic compute location diversity of a Cloud-to-the-edge to support machine-to- machine interactions that potentially have real- time constraints. To provide further insight, we focus on Connected Vehicle as an exemplar application domain. This paper provides a summary of work-to-date, including results from a small prototype of the system deployed at Clemson University. We illustrate the system be presenting work-to-date on the design, implementation and evaluation of a Queue Warning which is an application that has been studied thoroughly by the transportation community. This particular application is nicely suited for illustrating the additional benefits and complexities associated with implementing well understood applications in emerging distributed computing environments expected to be supported by the IoT.