ISSN: 1673-825X    Imprint: Chongqing University of Posts and Telecommunications Journal
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赋能智能物联网的雾计算技术
Fog computing technology for intelligent Internet of things
DOI:10.3979/j.issn.1673-825X.2019.04.001
Received:April 09, 2019  Revised:May 16, 2019
中文关键词:物联网  雾计算  多层次计算网络
英文关键词:Internet of things (IoT)  fog computing  multi-tier computing networks
基金项目:国家自然科学基金(61801463)
Author NameAffiliationE-mail
WANG Kunlun Shanghai Institute of Fog Computing Technology (SHIFT), Shanghai Tech University, Shanghai 201210, P. R. China wangkl2@shanghaitech.edu.cn 
LI Kai Shanghai Institute of Fog Computing Technology (SHIFT), Shanghai Tech University, Shanghai 201210, P. R. China likai@shanghaitech.edu.cn 
LI Ziqin Shanghai Institute of Fog Computing Technology (SHIFT), Shanghai Tech University, Shanghai 201210, P. R. China lizq@shanghaitech.edu.cn 
YANG Yang Shanghai Institute of Fog Computing Technology (SHIFT), Shanghai Tech University, Shanghai 201210, P. R. China yangyang@shanghaitech.edu.cn 
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中文摘要:
      由于物联网的快速实现,大量异构的、无处不在的和分散的设备彼此通信,并且可能在这些设备之间及网络间进行合作,可以在不需要第三方干预的情况下执行存储和处理任务。雾计算基础设施不仅将位于网络周边,还将跨越云到事物的连续体,包括在云、边缘或事物上,并且还将汇集这些分布式资源来支持应用程序。因此,雾计算通过强调更接近数据产生或使用地方的信息处理来解决基础设施和连接方面的挑战,从而显著提高服务质量和用户体验。概述了雾计算体系结构的背景与意义,总结了多层次计算网络架构及其本质,以解决延迟、带宽和能源消耗等几个关键问题。提供了雾计算技术优势与应用的广泛概述。最后,总结了雾计算领域研究工作的挑战和研究趋势。
英文摘要:
      Due to the rapid realization of internet of things, a huge number of heterogeneous, ubiquitous and decentralized devices communicate and potentially cooperate among them and with the network to perform storage and processing tasks without the intervention of third parties. Basically, fog infrastructure will not only be at the network perimeter but also span along the cloud-to-things continuum, including in the cloud, at the edge or on the things, and to also pool these distributed resources to support applications with improved quality of service and user experience. This survey first summarizes the background and significance of fog computing architecture. Furthermore, the architecture and nature of multi-tier computing networks are summarized to solve several key problems such as latency, bandwidth and energy consumption. Then, this paper provides a broad overview of the advantages and applications of fog computing technology. Finally, the research challenges of fog computing are summarized.
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