移动边缘计算卸载技术综述

谢人超; 廉晓飞; 贾庆民; 黄韬; 刘韵洁

doi:10.11959/j.issn.1000-436x.2018215

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移动边缘计算卸载技术综述

综述 | 更新时间：2024-06-05

- 移动边缘计算卸载技术综述
- Survey on computation offloading in mobile edge computing
- 通信学报 2018年39卷第11期页码：138-155
- 作者机构：
  
  北京邮电大学网络与交换技术国家重点实验室，北京 100876
- 作者简介：
  
  [ "谢人超（1984–），男，福建南平人，博士，北京邮电大学副教授、硕士生导师，主要研究方向为信息中心网络、移动网络内容分发技术和移动边缘计算等。" ]
  [ "廉晓飞（1992–），女，天津人，北京邮电大学硕士生，主要研究方向为5G网络、移动边缘计算等。" ]
  [ "贾庆民（1990–），男，山东泰安人，北京邮电大学博士生，主要研究方向为新型网络体系架构、内容分发和移动边缘计算等。" ]
  [ "黄韬（1980–），男，重庆人，博士，北京邮电大学教授、博士生导师，主要研究方向为新型网络体系架构、内容分发网络、软件定义网络等。" ]
  [ "刘韵洁（1943–），男，山东烟台人，中国工程院院士，北京邮电大学教授、博士生导师，主要研究方向为未来网络体系架构。" ]
- 基金信息：
  
  中央高校基本科研业务费专项基金资助项目(2018PTB-00-03);国家自然科学基金资助项目(61501042)
- DOI：10.11959/j.issn.1000-436x.2018215
  中图分类号： TP393
- 网络出版日期：2018-11，
  
  纸质出版日期：2018-11-25
- 稿件说明：
移动端阅览
谢人超, 廉晓飞, 贾庆民, 等. 移动边缘计算卸载技术综述[J]. 通信学报, 2018,39(11):138-155.

Renchao XIE, Xiaofei LIAN, Qingmin JIA, et al. Survey on computation offloading in mobile edge computing[J]. Journal on communications, 2018, 39(11): 138-155.
谢人超, 廉晓飞, 贾庆民, 等. 移动边缘计算卸载技术综述[J]. 通信学报, 2018,39(11):138-155. DOI： 10.11959/j.issn.1000-436x.2018215.

Renchao XIE, Xiaofei LIAN, Qingmin JIA, et al. Survey on computation offloading in mobile edge computing[J]. Journal on communications, 2018, 39(11): 138-155. DOI： 10.11959/j.issn.1000-436x.2018215.

摘要

移动边缘计算(MEC，mobile edge computing)中计算卸载技术即将移动终端的计算任务卸载到边缘网络，解决了设备在资源存储、计算性能以及能效等方面存在的不足。同时相比于云计算中的计算卸载，MEC 解决了网络资源的占用、高时延和额外网络负载等问题。首先介绍了 MEC 的网络架构及其部署方案，并对不同的部署方案做了分析和对比；然后从卸载决策、资源分配和系统实现这3个方面对MEC计算卸载关键技术进行了研究；通过对5G环境及其MEC部署方案的分析提出了两种计算卸载优化方案，总结归纳了目前MEC中计算卸载技术面临的移动性管理、干扰管理以及安全性等方面的核心挑战。

Abstract

Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage

computation performance and energy efficiency

but also deal with the problem of resource occupation

high latency and network load compared to cloud computing.Firstly the architecture of MEC was introduce and a comparative analysis was made according to various deployment schemes.Then the key technologies of computation offloading was studied from three aspects of decision on computation offloading

allocation of computing resource within MEC and system implement of MEC.Based on the analysis of MEC deployment scheme in 5G

two optimization schemes on computation offloading was proposed in 5G MEC.Finally

the current challenges in the mobility management was summarized

interference management and security of computation offloading in MEC.

关键词

Keywords

references

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