计算机工程

所属专题: 云计算专题

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小蜂窝云中功率与负载的联合优化分配算法

牛瑞彪,唐伦,陈婉   

  1. (重庆邮电大学 移动通信技术重点实验室,重庆 400065)
  • 收稿日期:2017-02-15 出版日期:2017-08-15 发布日期:2017-08-15
  • 作者简介:牛瑞彪(1990—),男,硕士研究生,主研方向为云计算、5G网络;唐伦,教授、博士;陈婉,硕士研究生。
  • 基金项目:
    国家自然科学基金(6157073)。

Allocation Algorithm of Power and Load Jointing Optimization for Small Cell Cloud

NIU Ruibiao,TANG Lun,CHEN Wan   

  1. (Key Lab of Mobile Communication Technology,Chongqing University of Post and Telecommunications,Chongqing 400065,China)
  • Received:2017-02-15 Online:2017-08-15 Published:2017-08-15

摘要: 移动终端资源有限及本地服务基站资源不足会引起移动终端体验质量降低、卸载任务时延长的问题。为此,提出一种新的联合优化分配算法。基于小蜂窝信道质量和剩余可用计算资源建立小蜂窝云(SCC),按照信道质量和剩余可用计算资源分配负载(卸载任务)到SCC,并采用启发式算法求解发送功率的次优解。仿真结果表明,该算法在小蜂窝云计算场景中能提高无线与计算资源的利用率,同时提升用户的体验质量。

关键词: 移动云计算, 任务卸载, 小蜂窝云, 剩余可用计算资源, 信道质量

Abstract: The Quality of Experience(QoE) of mobile terminals severely reduces caused by both local service station to a serious shortage of resources,and mobile terminal resources with limited.Furthermore,the task offloading into remote cloud brings the large time delay.This paper proposes a joint optimization of the power and load allocation algorithm for small cell cloud.Based on the channel quality and the rest of the available computing resources to build Small Cell Cloud(SCC),according to the same element,it distributes the load(offloading tasks) to SCC and uses a heuristic algorithm to seek approximate suboptimal solution to transmitting power.Simulation results show that the algorithm can improve the utilization of the radio and computing resources,and enhance the user QoE at the same time.

Key words: Mobile Cloud Computing(MCC), task offloading, Small Cell Cloud(SCC), remaining available computing resources, channel quality

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