北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2018, Vol. 41 ›› Issue (5): 86-91,97.doi: 10.13190/j.jbupt.2018-169

• 论文 • 上一篇    下一篇

5G中多接入边缘计算的联合部署架构设计

陈昕, 温向明, 王鲁晗, 路兆铭   

  1. 1. 北京邮电大学 信息与通信工程学院, 北京 100876;
    2. 北京邮电大学 网络体系构建与融合北京市重点实验室, 北京 100876
  • 收稿日期:2018-08-05 出版日期:2018-10-28 发布日期:2018-11-20
  • 作者简介:陈昕(1991-),男,博士生,E-mail:chenxin2014@bupt.edu.cn;温向明(1959-),男,教授,博士生导师.
  • 基金资助:
    国家重点研发计划项目(2017YFC0112802);国家科技重大专项项目(2018ZX030110004);北京邮电大学基本科研业务费项目(2018RC06)

The Architecture Design of Cooperated Deployment for Multi-Access Edge Computing in 5G

CHEN Xin, WEN Xiang-ming, WANG Lu-han, LU Zhao-ming   

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2018-08-05 Online:2018-10-28 Published:2018-11-20

摘要: 提出了多接入边缘计算(MEC)在接入侧和核心网中的联合部署架构.利用容器和微服务模式设计MEC的敏捷部署方案,通过修改基站的数据面协议栈,完成MEC流量高效地分辨和调度,并基于智能域名解析,实现接入网、核心网中MEC业务的智能联合调度.实验测试结果表明,该架构能够根据业务特性合理地分配分布式的MEC处理节点,降低了完成任务的时延,提升了可扩展性.相较于独立部署架构和传统的业务分配方式,本架构在第5代移动通信系统(5G)的网络低时延场景下具有更好的性能.

关键词: 多接入边缘计算, 第5代移动通信系统, 网络架构, 任务分配

Abstract: A novel architecture of cooperated deployment for multi-access edge computing (MEC) was proposed to integrate the radio access networks and core networks. It makes full use of container technology and micro-service to implement the agile deployment scheme. MEC traffic flow is recognized and forwarded efficiently with a modified the protocol stack of data plane in base stations. Moreover, the intelligent domain name system was introduced to handle cooperated task allocation of MEC among multiple network elements. According to the results of practical experiments, the proposed architecture may allocate appropriate MEC processing nodes to specific tasks in line with their characteristics to reduce the delay and enhance the scalability. It provides better performance for low-latency scenarios in the fifth generation of mobile communications system(5G) compared with standalone deployment and traditional task allocation approaches.

Key words: multi-access edge computing, the fifth generation of mobile communications system(5G), network architecture, task allocation

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