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Received:March 25, 2021 Revised:March 31, 2021
Received:March 25, 2021 Revised:March 31, 2021
中文摘要: 边缘计算可以有效解决传统云计算中传输时延大、用户数据安全性不够高、传输带宽压力大以及终端移动设备计算能力受限、能耗大等问题. 计算卸载是边缘计算中的关键技术, 针对当前计算卸载技术的研究现状和存在的不足, 本文围绕计算卸载, 首先介绍边缘计算的体系架构以及部分应用和分析4种主要的影响因素以及相应具体的条件; 其次针对3种决策目标分析了算法策略及对应变量在算法中的作用; 最后总结目前在计算卸载中存在的不足.
Abstract:Edge computing can effectively solve the problems of large transmission delay, insufficient user data security, high transmission bandwidth pressure, limited computing capabilities of terminal mobile devices, and high energy consumption in traditional cloud computing. Computing offloading is a key technology in edge computing. Concerning the research status and existing deficiencies of computing offloading technology, this study first introduces the architecture of edge computing and some applications and analyzes the four main influencing factors and corresponding specific conditions. Secondly, the algorithm strategy and the role of corresponding variables in the algorithm are analyzed in three decision objectives. Finally, it summarizes the current deficiencies in computing offloading.
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基金项目:网信融合项目基金(LXJH-10(A)-09)
引用文本:
郑会吉,余思聪,崔翛龙,朱利,柏财通.边缘计算中的计算卸载综述.计算机系统应用,2021,30(12):28-36
ZHENG Hui-Ji,YU Si-Cong,CUI Xiao-Long,ZHU Li,BAI Cai-Tong.Survey on Computing Offloading in Edge Computing.COMPUTER SYSTEMS APPLICATIONS,2021,30(12):28-36
郑会吉,余思聪,崔翛龙,朱利,柏财通.边缘计算中的计算卸载综述.计算机系统应用,2021,30(12):28-36
ZHENG Hui-Ji,YU Si-Cong,CUI Xiao-Long,ZHU Li,BAI Cai-Tong.Survey on Computing Offloading in Edge Computing.COMPUTER SYSTEMS APPLICATIONS,2021,30(12):28-36