边缘计算迁移研究综述

朱友康; 乐光学; 杨晓慧; 刘建生

doi:10.11959/j.issn.1000-0801.2019059

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边缘计算迁移研究综述

综述 | 更新时间：2024-06-05

- 边缘计算迁移研究综述
- A survey on edge computing offloading
- 电信科学 2019年35卷第4期页码：74-94
- 作者机构：
  
  1. 江西理工大学，江西赣州 341000
  2. 嘉兴学院，浙江嘉兴 314001；
- 作者简介：
  
  [ "朱友康（1992- ），男，江西理工大学硕士生，主要研究方向为边缘计算和计算迁移。" ]
  [ "乐光学（1963- ），男，嘉兴学院教授，主要研究方向为多云融合与协同服务、无线 mesh网络与移动云计算、混成与嵌入式系统。" ]
  [ "杨晓慧（1996- ），女，江西理工大学硕士生，主要研究方向为移动云计算。" ]
  [ "刘建生（1959- ），男，江西理工大学副教授，主要研究方向为深度学习。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61462036);浙江省自然科学基金资助项目;The National Natural Science Foundation of Zhejiang Province of China(LY16F020028)
- DOI：10.11959/j.issn.1000-0801.2019059
  中图分类号： TP393
- 网络出版日期：2019-04，
  
  纸质出版日期：2019-04-20
- 稿件说明：
移动端阅览
朱友康, 乐光学, 杨晓慧, 等. 边缘计算迁移研究综述[J]. 电信科学, 2019,35(4):74-94.

Youkang ZHU, Guangxue YUE, Xiaohui YANG, et al. A survey on edge computing offloading[J]. Telecommunications science, 2019, 35(4): 74-94.
朱友康, 乐光学, 杨晓慧, 等. 边缘计算迁移研究综述[J]. 电信科学, 2019,35(4):74-94. DOI： 10.11959/j.issn.1000-0801.2019059.

Youkang ZHU, Guangxue YUE, Xiaohui YANG, et al. A survey on edge computing offloading[J]. Telecommunications science, 2019, 35(4): 74-94. DOI： 10.11959/j.issn.1000-0801.2019059.

摘要

边缘计算将网络边缘上的计算、存储等资源进行有机融合，构建成统一的用户服务平台，按就近服务原则对网络边缘节点任务请求及时响应并有效处理。由于边缘节点能力、资源、带宽、能源等受限，计算迁移是边缘计算的一个关键问题。综述了移动边缘计算的起因、演进和发展趋势，以从分布式计算、普适计算、云计算到边缘计算的演进历程为主线，对比分析了各阶段计算迁移的特点并对经典模型进行了评述；重点分析了边缘计算的最新研究进展及应用领域，研究并对比分析了基于能耗优化管理的移动边缘计算模型。最后提出了一个面向LTE应用和基于时分多址（time division multiple access，TDMA）的多用户边缘移动终端计算迁移策略系统。

Abstract

Edge computing integrate the computing

storage and other resources on the edge of the network into a unified user service platform.According to the principle of nearest service

the network edge node task request is timely and correspondingly processed.Computational migration is a key issue in edge computing due to limited edge node capabilities

resources

bandwidth

and energy.The causes

evolution and development trends of mobile edge computing were reviewed from the distributed computing

pervasive computing

cloud computing to edge computing as the main line.The characteristics of computing migration at each stage were compared and analyzed

and the classical models were reviewed.The latest research progress and application fields of edge computing were focused on

mobile edge computing models based on energy optimization management were researched and compared.Finally

a time division multiple access based multi-user edge mobile terminal computing migration strategy system for LTE applications was proposed.

关键词

Keywords

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