信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2023, Vol. 49 ›› Issue (11): 81-90.doi: 10.12267/j.issn.2096-5931.2023.11.012

技术与标准 上一篇    下一篇

基于微服务架构的数字孪生仿真平台设计方法

Design method of digital twin simulation platform based on micro-service architecture

高月红1, 张吉1, 严靖炜1, 刘奕彤1, 郑青碧2   

  1. 1.北京邮电大学信息与通信工程学院,北京 100876
    2.中国移动通信有限公司研究院未来研究院,北京 100053
  • 收稿日期:2023-02-16 出版日期:2023-11-25 发布日期:2023-11-30
  • 作者简介:
    高月红, 北京邮电大学信息与通信工程学院副教授,主要研究方向为无线通信理论与技术、网络演算理论与应用等
    张吉, 北京邮电大学信息与通信工程学院硕士研究生在读,主要研究方向为无线通信与系统仿真等
    严靖炜, 北京邮电大学信息与通信工程学院硕士研究生在读,主要研究方向为无线通信与人工智能等
    刘奕彤, 北京邮电大学信息与通信工程学院高级工程师,主要研究方向为无线通信中的新兴媒体和智能、软件无线电等
    郑青碧, 中国移动通信有限公司研究院未来研究院研究员,主要研究方向为6G数字孪生网络自治与内生AI网络架构领域的前沿技术等

GAO Yuehong1, ZHANG Ji1, YAN Jingwei1, LIU Yitong1, ZHENG Qingbi2   

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
    2. Future Research Lab, China Mobile Communication Institute, Beijing 100053, China
  • Received:2023-02-16 Online:2023-11-25 Published:2023-11-30

摘要:

提出了一种基于微服务架构的数字孪生仿真平台的设计方法,以多维度资源精准调配的网络节能优化场景为例,通过拆分平台中松耦合的仿真单元,设计通信接口,并基于Docker及Kubernetes平台实现微服务仿真组件的部署,完成数字孪生仿真平台的架构升级。通过融合微服务架构的优势,可以为平台未来的升级改造、功能扩展、部署实施等提供便捷。测试结果表明,该方法可以以容器的形式实现并行计算,在计算量较大的场景下,显著缩短平台运行时间。

关键词: 微服务, 数字孪生, 仿真

Abstract:

A design method of digital twin simulation platform based on micro-service architecture is proposed. The network energy saving optimization scenario that is accurately allocated with multi-dimensional resources is taken as an example. The communication interfaces are designed by splitting the loosely coupled simulation units in the platform. Based on Docker container technology and the Kubernetes platform, the micro-service simulation components are deployed, and the architecture of the digital twin simulation platform is upgraded. By merging the advantages of micro-service architecture, the platform can be more convenient for upgrading, function expansion, deployment and implementation in the future. The test results show that parallel computing can be realized in the form of containers with the proposed method, and the simulation time can be significantly shortened when the computing amount is large.

Key words: micro-service, digital twin, simulation

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