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边缘计算网关关键技术及其应用 被引量:6

Key Technologies of Edge Computing Gateway and Its Application
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摘要 传统的中心云计算模型存在数据计算负载大、效率低等不足,为此,边缘计算网关技术得到了高度关注和广泛研究。边缘计算技术作为对云计算技术的改进,在物联网架构中,其网关是连接本地设备和云平台的关键部件,它可以将数据计算任务部署到本地设备上运行,然后利用以太网或无线通信将边缘计算处理后的实时、短周期数据上传至云平台。文章通过研究国内外边缘计算网关相关技术,对边缘计算网关的功能选择和标准评估方法、关键技术、发展历程以及应用进展进行了归纳总结;并结合当前边缘计算技术的应用现状和发展趋势,对边缘计算网关在5G和人工智能时代下的未来发展进行了展望。 Traditional central cloud computing model has disadvantages such as heavy data computing load and low efficiency.For this reason,edge computing gateway has received great attention and extensive research.As an improvement to cloud computing technology,in the IoT(internet of things)architecture,the edge computing gateway is a key component connecting local devices and cloud platforms.It is able to deploy data computing tasks to run on local devices,and upload the real-time,short-cycle data processed by edge computing to the cloud platform using Ethernet or wireless communication.In this paper,the literatures and researches on edge computing gateway at home and abroad are investigated,and the function selection and evaluation,key technologies,development history and application progress of edge computing gateway are summarized,the future development of edge computing gateway in the era of 5G and artificial intelligence is prospected based on the current application status and development trend of edge computing technology.
作者 李文豪 陈仲生 LI Wenhao;CHEN Zhongsheng(College of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou,Hunan 412007,China)
出处 《控制与信息技术》 2022年第4期1-10,共10页 CONTROL AND INFORMATION TECHNOLOGY
基金 国家自然科学基金资助项目(51975206)。
关键词 边缘计算网关 物联网 雾计算 人工智能 5G通信 edge computing gateway internet of things(IoT) frog computing artificial intelligence(AI) 5G communication
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  • 1陈妍,李增智,王云岚,廖志刚.CDN网络中对象一致性算法研究[J].电子学报,2005,33(8):1480-1483. 被引量:2
  • 2VARIA J. Cloud architectures - Amazon Web services [ EB/OL]. [ 2009 - 03 - 01 ]. http://acmbangalore, org/events/monthly-talk/ may-2008 --cloud-architectures---amazon-web-services. html.
  • 3BRYANT R E. Data-intensive supercomputing: The case for DISC, CMU-CS-07-128 [ R]. Pittsburgh, PA, USA: Carnegie Mellon University, Department of Computer Science, 2007.
  • 4SZALAY A S, KUNSZT P, THAKAR A, et al. Designing and mining multi-terabyte astronomy archives: The sloan digital sky survey [ C]//Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. New York: ACM Press, 2000:451 - 462.
  • 5BARROSO L A, DEAN J, HOLZLE U. Web search for a planet: The Google cluster architecture [ J]. IEEE Micro, 2003, 23(2) : 22 -28.
  • 6GILES J. Google tops translation ranking [ EB/OL]. (2006 - 11 - 06) [ 2009 - 03 - 06 ]. http://www, nature, com/news/2006/ 061106/full/news061106-6. html.
  • 7维基百科.Cloud computing [ EB/OL]. [ 2009 - 03 - 10]. http://en. wikipedia, org/wiki/Cloud_computing.
  • 8中国云计算网.什么是云计算?[EB/OL].(2008-05-14)[2009-02-27].http://www.cloudcomputing-china.cn/Article/ShowArticle.asp?ArticleID=1.
  • 9VAQUERO L M, RODERO-MERINO L, CACERES J, et al. A break in the clouds: Towards a cloud definition [ J]. ACM SIGCOMM Computer Communication Review, 2009, 39(1): 50-55.
  • 10WEISS A. Computing in the clouds [ J]. ACM Networker, 2007, 11(4): 16 -25.

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