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边缘计算环境下的计算卸载策略研究 被引量:5

Research on Computing Offload Strategy in Edge Computing Environment
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摘要 边缘计算环境下的计算卸载技术通过将移动终端设备的计算任务卸载到网络边缘执行,不仅解决了移动终端设备在计算能力、存储资源和续航时间等方面的不足,而且相比于集中式云计算,在请求时延、通信资源占用等方面具有明显优势。阐述了边缘计算卸载技术的应用背景和基本概念,梳理了边缘计算卸载步骤和主要的影响因素,详细研究了目前应用最为广泛的3种边缘计算卸载策略的原理和研究现状,即最小化请求时延的卸载决策、满足请求时延约束下最小化耗能的卸载决策、基于时延和能耗权衡的卸载决策,分析了上述策略面临的挑战,梳理了边缘计算卸载策略未来的研究方向。 By offloading the com puting tasks of mobile terminal devices to the network edge,the computing offload technology in edge computing environment not only solves the shortcomings of mobile terminal devices in terms of computing power,storage resources and battery life,but also has obvious advantages in terms of request delay and communication resource occupation compared with centralized cloud computing. Firstly,the application background and basic concepts of edge computing offload technology are described,and the steps and main influencing factors of edge computing offload technology are combed. Then,the principles and research status of the three most widely used edge computing offload strategies are studied in detail,namely,the offload decision to minimize request delay,the offload decision to minimize energy consumption under the constraint of request delay,and the offload decision based on the trade-off between delay and energy consumption. Finally,based on the current research status and challenges of edge computing offload technology,the future research direction of edge computing offload strategy is combed.
作者 陈霄 刘巍 陈静 程绍驰 夏淋淋 CHEN Xiao;LIU Wei;CHEN Jing;CHENG Shao-chi;XIA Lin-lin(Academy of Military Sciences,Beijing 100091,China)
机构地区 军事科学院
出处 《火力与指挥控制》 CSCD 北大核心 2022年第1期7-14,19,共9页 Fire Control & Command Control
基金 “十三五”装备预研项目(315105201)。
关键词 边缘计算 计算卸载 卸载策略 请求时延 能量消耗 edge computing offload strategy uninstall decision request delay energy consumption
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