• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 计算机网络与信息安全 • 上一篇    下一篇

移动边缘计算环境下的动态资源分配策略

朱新峰1,张智浩1,王彦凌2   

  1. (1.扬州大学信息工程学院,江苏 扬州 225127;2.浙江理工大学信息学院,浙江 杭州 310018)
  • 收稿日期:2018-08-20 修回日期:2018-12-29 出版日期:2019-07-25 发布日期:2019-07-25
  • 基金资助:

    国家自然科学基金(21675140)

A dynamic resource allocation strategy
in mobile edge computing environment
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ZHU Xinfeng1,ZHANG Zhihao1,WANG Yanling2   

  1. (1.School of Information Engineering,Yangzhou University,Yangzhou 225127;
    2.School of Information,Zhejiang SciTech University,Hangzhou 310018,China)
     
  • Received:2018-08-20 Revised:2018-12-29 Online:2019-07-25 Published:2019-07-25

摘要:

在通讯设备爆炸式增长的时代,移动边缘计算作为5G通讯技术的核心技术之一,对其进行合理的资源分配显得尤为重要。移动边缘计算的思想是把云计算中心下沉到基站部署(边缘云),使云计算中心更加靠近用户,以快速解决计算资源分配问题。但是,相对于大型的云计算中心,边缘云的计算资源有限,传统的虚拟机分配方式不足以灵活应对边缘云的计算资源分配问题。为解决此问题,提出一种根据用户综合需求变化的动态计算资源和频谱分配算法(DRFAA),采用“分治”策略,并将资源模拟成“流体”资源进行分配,以寻求较大的吞吐量和较低的传输时延。实验仿真结果显示,动态计算资源和频谱分配算法可以有效地降低用户与边缘云之间的传输时延,也可以提高边缘云的吞吐量。

 

关键词: 移动边缘计算, 分治法, 资源分配, 频谱, 吞吐量, 传输时延

Abstract:

In the era of explosive growth of communication equipment, mobile edge computing is a core 5G communication technique, and it is important to allocate resources reasonably. The idea of mobile edge computing is to sink cloud computing centers to the base station deployment (edge cloud) and to bring cloud computing centers closer to users to quickly solve the problem of computing resource allocation. However, compared with large cloud computing centers, the computing resources of the edge cloud are limited, and the traditional virtual machine allocation method cannot flexibly deal with the problem of computing resource allocation of the edge cloud. To solve this problem, we propose a dynamic computing resource and spectrum allocation algorithm (DRFAA) based on users’ comprehensive needs. It adopts the “divide and conquer” strategy, and simulates resources into "fluid" resources for allocation  so as to seek for a larger throughput and a lower transmission delay. Simulation results show that the dynamic computing resource and spectrum allocation algorithm can effectively reduce the transmission delay between the user and the edge cloud, and also improve the throughput of the edge cloud.

 

 

 
 

Key words: mobile edge computing, divide and conquer strategy, resource allocation, spectrum, throughput, transmission delay