摘要
近年来,随着移动智能设备的普及以及5G等无线通信技术的发展,边缘计算作为一种新兴的计算模式被提出,作为传统的云计算模式的扩展与补充。边缘计算的基本思想是将移动设备上产生的计算任务从卸载到云端转变为卸载到网络边缘端,从而满足实时在线游戏、增强现实等计算密集型应用对低延迟的要求。边缘计算中的计算任务卸载是一个关键的研究问题,即计算任务应在本地执行还是卸载到边缘节点或云端。不同的任务卸载方案对任务完成时延和移动设备能耗都有着较大的影响。文中首先介绍了边缘计算的基本概念,归纳了边缘计算的几种系统架构。随后,详细阐述了边缘计算中的计算任务卸载问题。基于对任务卸载方案研究的必要性与挑战的分析,对现有的相关研究工作进行了全面的综述和总结,并对未来的研究方向进行了展望。
Recently,with the popularization of mobile smart devices and the development of wireless communication technologies such as 5G,edge computing is proposed as a novel and promising computing mode,which is regarded as an extension of traditional cloud computing.The basic idea of edge computing is to transferm the computing tasks generated on mobile devices from offloading to remote clouds to offloading to the edge of the network,to meet the low-latency requirements of computing-intensive applications such as real online game and augmented reality.The offloading problem of computing tasks in edge computing is an important issue that studies whether computing tasks should be performed locally or offloaded to edge nodes or remote clouds,since it has a big impact on task completion delay and energy consumption of devices.This paper firstly explains the basic concepts of edge computing and introduces several system architectures of edge computing.Then,it expounds the task offloading problem in edge computing.Considering the research necessity and difficulty of task offloading in edge computing,it comprehensively reviews the existing related works and discusses the future research directions.
作者
刘通
方璐
高洪皓
LIU Tong;FANG Lu;GAO Hong-hao(School of Computer Engineering and Science,Shanghai University,Shanghai 200444,China;Shanghai Engineering Research Center of Intelligent Computing System,Shanghai 200444,China)
出处
《计算机科学》
CSCD
北大核心
2021年第1期11-15,共5页
Computer Science
基金
国家自然科学基金青年项目(61802245)
上海市“科技创新行动计划”青年科技英才扬帆计划(18YF1408200)。
关键词
边缘计算
任务卸载
资源分配
任务延迟
能量消耗
Edge computing
Task offloading
Resource allocation
Task delay
Energy consumption