计算机科学 ›› 2021, Vol. 48 ›› Issue (3): 259-268.doi: 10.11896/jsjkx.201000109

• 计算机网络 • 上一篇    下一篇

云边协同综述

陈玉平1, 刘波1, 林伟伟2, 程慧雯1   

  1. 1 华南师范大学计算机学院 广州510631
    2 华南理工大学计算机科学与工程学院 广州510640
  • 收稿日期:2020-10-20 修回日期:2020-12-15 出版日期:2021-03-15 发布日期:2021-03-05
  • 通讯作者: 林伟伟(linww@scut.edu.cn)
  • 作者简介:1127952401@qq.com
  • 基金资助:
    国家自然科学基金(62072187,61872084);广东省基础与应用基础研究重大项目(2019B030302002);广州市科技计划项目 (202007040002,201902010040)

Survey of Cloud-edge Collaboration

CHEN Yu-ping1, LIU Bo1, LIN Wei-wei2, CHENG Hui-wen1   

  1. 1 School of Computer Science,South China Normal University,Guangzhou 510631,China
    2 School of Computer Science and Engineering,South China University of Technology,Guangzhou 510640,China
  • Received:2020-10-20 Revised:2020-12-15 Online:2021-03-15 Published:2021-03-05
  • About author:CHEN Yu-ping,born in 1995,postgra-duate.Her main research interests include cloud computing and edge computing.
    LIN Wei-wei,born in 1980,Ph.D,professor,is a member of China Computer Federation.His main research interests include cloud computing,big data technology and AI application technology.
  • Supported by:
    National Natural Science Foundation of China(62072187,61872084),Guangdong Major Project of Basic and Applied Basic Research(2019B030302002) and Guangzhou Science and Technology Plan Project(202007040002,201902010040).

摘要: 在物联网、大流量等场景下,传统的云计算具有强大的资源服务能力的优点和远距离传输的缺点,而新兴的边缘计算具有低传输时延的优点和资源受限的缺点,因此,结合了云计算与边缘计算优点的云边协同引起了研究者的广泛关注。在全面调查和分析云边协同相关文献的基础上,文中重点分析和讨论了资源协同、数据协同、智能协同、业务编排协同、应用管理协同和服务协同等协同技术的实现原理和研究思路与进展。然后分别从云端和边缘端深入分析了各种协同技术在协同中所起的作用以及具体的使用方法,并从时延、能耗以及其他性能指标方面对结果进行了对比分析。最后指出了云边协同目前存在的挑战和未来的发展方向。本综述有望为云边协同的研究提供有益的参考。

关键词: 边缘计算, 数据协同, 云边协同, 云计算, 智能协同, 资源协同

Abstract: In the scenarios of Internet of things,large traffic and so on,traditional cloud computing has the advantages of strong resource service ability and the disadvantages of long-distance transmission,and the rising edge computing has the advantages of low transmission delay and the disadvantage of resource limitation.Therefore,cloud-edge collaboration,which combines the advantages of cloud computing and edge computing,has attractedmuch attention.Based on the comprehensive investigation and analysis of the relevant literature on cloud edge collaboration,this paper focuses on the in-depth analysis and discussion of the implementation principles,research ideas and progress of cloud collaboration technologies,such as resource collaboration,data collaboration,intelligent collaboration,business orchestration collaboration,application management collaboration and service colla-boration.And then,it analyzes the role of various collaborative technologies in collaboration and the specific used methods,and compares the results from the aspects of delay,energy consumption and other performance indicators.Finally,the challenges and future development direction of cloud edge collaboration are pointed out.This review is expected to provide a useful reference for the research of cloud-edge collaboration.

Key words: Cloud computing, Cloud-edge collaboration, Data collaboration, Edge computing, Intelligence collaboration, Resource collaboration

中图分类号: 

  • TP399
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