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云边端架构下边缘智能计算关键问题综述:计算优化与计算卸载

董裕民 张静 谢昌佐 李子扬

董裕民, 张静, 谢昌佐, 李子扬. 云边端架构下边缘智能计算关键问题综述:计算优化与计算卸载[J]. 电子与信息学报, 2024, 46(3): 765-776. doi: 10.11999/JEIT230390
引用本文: 董裕民, 张静, 谢昌佐, 李子扬. 云边端架构下边缘智能计算关键问题综述:计算优化与计算卸载[J]. 电子与信息学报, 2024, 46(3): 765-776. doi: 10.11999/JEIT230390
DONG Yumin, ZHANG Jing, XIE Changzuo, LI Ziyang. A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading[J]. Journal of Electronics & Information Technology, 2024, 46(3): 765-776. doi: 10.11999/JEIT230390
Citation: DONG Yumin, ZHANG Jing, XIE Changzuo, LI Ziyang. A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading[J]. Journal of Electronics & Information Technology, 2024, 46(3): 765-776. doi: 10.11999/JEIT230390

云边端架构下边缘智能计算关键问题综述:计算优化与计算卸载

doi: 10.11999/JEIT230390
基金项目: 国家重点研发计划 (2021YFC3002204)
详细信息
    作者简介:

    董裕民:男,博士生,研究方向为边缘计算、知识工程等

    张静:女,硕士,高级工程师,研究方向为遥感信息质量控制、分布式智能决策等

    谢昌佐:男,硕士生,研究方向为分布式计算和边缘计算等

    李子扬:男,博士,研究员,研究方向为边缘计算、并行计算等

    通讯作者:

    李子扬 zyli@aircas.ac.cn

  • 中图分类号: TN919.1; TP393.09

A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading

Funds: National Key R&D Program (2021YFC3002204)
  • 摘要: 近年来,随着入网设备数量与数据体量的急剧增加,以云计算为代表的中心式计算模式的缺点越来越显露出来。边缘计算,即让计算尽量靠近数据源,以减少数据传输时间和网络延迟,作为云计算的补充,已经成为学术界和工业界关注的焦点。该文面向边缘计算中应用较广的实例架构—云边端架构,以及边缘计算的典型应用—边缘智能计算,讨论云边端架构下边缘智能计算的两大关键问题:计算优化和计算卸载。首先分析和梳理了云边端架构下边缘智能计算优化的应用与研究现状。然后讨论了云边端架构下计算卸载的研究思路和现状。最后,总结提出了目前云边端架构下边缘智能计算业务所面临的挑战和未来研究趋势。
  • 图  1  边缘计算与智能计算结合的趋势

    图  2  云边端架构特点

    图  3  中心式计算卸载流程

    图  4  边缘式计算卸载流程

    图  5  基于“两种选择的力量”策略的卸载流程

    表  1  边缘智能计算框架对比

    TensorFlow LitePyTorch MobileMindSpore LitePaddle Lite
    开发者谷歌Linux基金会华为百度
    支持功能推理训练+推理训练+推理推理
    支持的操作系统Android
    iOS
    Linux
    iOS
    Android
    Android
    iOS
    OpenHarmony
    Linux
    Windows
    Android
    iOS
    Linux
    Windows
    macOS
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-05-09
  • 修回日期:  2023-07-07
  • 网络出版日期:  2023-07-14
  • 刊出日期:  2024-03-27

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