ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2018, Vol. 55 ›› Issue (2): 327-337.doi: 10.7544/issn1000-1239.2018.20170228

• 综述 • 上一篇    下一篇

边缘计算:平台、应用与挑战

赵梓铭, 刘芳, 蔡志平, 肖侬   

  1. (国防科技大学计算机学院 长沙 410073) (zhaoziming93@aliyun.com)
  • 出版日期: 2018-02-01
  • 基金资助: 
    国家自然科学基金项目(61433019,61332003,61379145);国家重点研发计划项目(2016YFB1000302)

Edge Computing: Platforms, Applications and Challenges

Zhao Ziming, Liu Fang, Cai Zhiping, Xiao Nong   

  1. (College of Computer, National University of Defense Technology, Changsha 410073)
  • Online: 2018-02-01

摘要: 随着万物联网的趋势不断加深,智能手机、智能眼镜等端设备的数量不断增加,使数据的增长速度远远超过了网络带宽的增速;同时,增强现实、无人驾驶等众多新应用的出现对延迟提出了更高的要求.边缘计算将网络边缘上的计算、网络与存储资源组成统一的平台为用户提供服务,使数据在源头附近就能得到及时有效的处理.这种模式不同于云计算要将所有数据传输到数据中心,绕过了网络带宽与延迟的瓶颈,引起了广泛的关注.首先介绍边缘计算的概念,并给出边缘计算的定义;随后,比较了当前比较有代表性的3个边缘计算平台,并通过一些应用实例来分析边缘计算在移动应用和物联网应用上的优势;最后阐述了当前边缘计算面临的挑战.

关键词: 边缘计算, 雾计算, 移动计算, 物联网, 云计算

Abstract: With the trend of Internet of Everything, the number of end devices (e.g. smartphones, smart glasses) has increased rapidly which makes the data produced by these devices have grown at rates far more than the growth rate of network bandwidth. At the same time, the emergence of novel applications demands lower latency of the network, such as augmented reality and manless driving. Edge computing integrates any computing, storage and network resources at the edge of the network into a unified platform that provides services for users. This new computing model gets around the bottleneck that is caused by network bandwidth and latency, has received widespread attention in both industrial and academic. In this survey, we first introduce the concepts of edge computing and provide the definition of it. To help the readers to better understand the characteristics of edge computing, we compare it with cloud computing. We then analyze the three representative instances of edge computing platform and make a systematic comparison of them. After that, we enumerate some typical applications based on the edge computing to describe the advantages of edge computing in mobile or Internet of Things applications. Finally, the paper lays out several grand challenges of edge computing.

Key words: edge computing, fog computing, mobile computing, Internet of things, cloud computing

中图分类号: