CityFlow: Exploiting Edge Computing for Large Scale Smart City Applications

CityFlow: Exploiting Edge Computing for Large Scale Smart City Applications
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DOI：
10.1109/bigcomp.2019.8679234
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发表时间：
2019-02
期刊：
2019 IEEE International Conference on Big Data and Smart Computing (BigComp)
影响因子：
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通讯作者：
N. Giang;Victor C. M. Leung;M. Kawano;Takuro Yonezawa;J. Nakazawa;R. Lea;M. Broadbent
N. Giang;Victor C. M. Leung;M. Kawano;Takuro Yonezawa;J. Nakazawa;R. Lea;M. Broadbent
中科院分区：
其他
文献类型：
--
作者：
N. Giang;Victor C. M. Leung;M. Kawano;Takuro Yonezawa;J. Nakazawa;R. Lea;M. Broadbent

文献摘要

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提出了一种支持利用边缘计算资源的大规模智慧城市应用程序开发过程的方法。开发了一种智能城市试验床CitiFlow，采用分布式Node-RED作为底层中间件，便于大规模智慧城市应用中子组件之间的分解和通信。对于评估，执行了基于实验室的设置和真实世界的部署，并进行了演示。
This paper presents an approach to supporting the development process for large-scale smart city applications that leverage edge computing resources. A smart city testbed called CitiFlow is developed, which uses Distributed Node-RED as the underlying middleware to facilitate the decomposition and communication among sub components of large scale smart city applications. For the evaluation, a lab-based setup and a real world deployment were executed and are presented.