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联合优化时延与能效的移动终端计算迁移方法
引用本文:张文柱,曹琲琲,孔维鹏.联合优化时延与能效的移动终端计算迁移方法[J].西安电子科技大学学报,2018,45(6):63-68+111.
作者姓名:张文柱  曹琲琲  孔维鹏
作者单位:(1. 西安建筑科技大学 信息与控制工程学院,陕西 西安 710055;2. 西安电子科技大学 通信工程学院,陕西 西安 710071)
基金项目:国家自然科学基金资助项目(61473216);陕西省自然科学基础研究计划资助项目(2016JM6084);西安市科技计划项目高校院所人才服务企业工程资助项目(JZKD0010)
摘    要:为了在实际应用中实施合理的计算迁移,必须找到能够综合考虑减小执行时间和节约能耗的迁移决策方法.面向长期演进应用背景,提出了一种能够联合优化处理时延与能耗的移动计算迁移方法.该方法首先建立了计算迁移模型;在此基础上,分析计算迁移的相关参数,构造计算迁移代价函数;最后,以减小时延与降低能耗为约束条件,合理规划计算迁移,达到联合优化移动终端处理时延与能耗的目标.仿真分析表明,该方法在减小移动终端的处理时延与降低能耗方面性能显著.

关 键 词:移动终端  计算迁移  处理时延  能效  
收稿时间:2018-04-17

Computation offloading approach achieving optimization of both processing delay and energy efficiency for mobile terminals
ZHANG Wenzhu,CAO Beibei,KONG Weipeng.Computation offloading approach achieving optimization of both processing delay and energy efficiency for mobile terminals[J].Journal of Xidian University,2018,45(6):63-68+111.
Authors:ZHANG Wenzhu  CAO Beibei  KONG Weipeng
Affiliation:(1. School of Information and Control Engineering, Xi'an Univ. of Architecture and Technology, Xi'an 710055, China; 2. School of Telecommunications Engineering, Xidian Univ., Xi'an 710071, China)
Abstract:Computation offloading is a technique to offload computation intensive applications executed on mobile terminals to remote servers. It is an effective way to expand the comprehensive processing capabilities of mobile terminals. However, for this promise to become a reality, it is necessary to find an approach to guide decision-making on computation offloading. Orienting to the LTE context, a computing offloading approach is presented in this paper, which can optimize both processing delay and energy efficiency. The approach first establishes the mobile terminal's computation offload model; then it constructs an offloading cost function based on analyzing the computation offloading parameters related; finally, it implements reasonable computation offloading by taking the processing delay and the energy consumption as constraints. An extensive numerical analysis reveals that the proposed approach achieves less processing delay and better energy efficiency simultaneously.
Keywords:mobile terminal  computation offloading  processing delay  energy efficiency  
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