系统仿真学报 ›› 2018, Vol. 30 ›› Issue (12): 4536-4545.doi: 10.16182/j.issn1004731x.joss.201812006

• 仿真建模理论与方法 • 上一篇    下一篇

基于微服务的边缘侧仿真方法及框架研究

翟岩龙1, 孙文心1, 包天虹1, 杨凯2, 卿杜政2   

  1. 1.北京理工大学计算机学院,北京 100081;
    2.北京仿真中心 航天系统仿真重点实验室,北京 100854
  • 收稿日期:2018-05-30 修回日期:2018-07-01 出版日期:2018-12-10 发布日期:2019-01-03
  • 作者简介:翟岩龙(1981-),男,北京,博士,讲师,研究方向为分布式并行仿真等; 孙文心(1995-),女,河南,硕士,研究方向为分布式并行仿真。
  • 基金资助:
    国家自然科学基金(61602037), 装备预研领域基金(61400010104)

Edge-side Simulation Method and Framework Based on Micro-services

Zhai Yanlong1, Sun Wenxin1, Bao Tianhong1, Yang Kai2, Qing Duzheng2   

  1. 1.School of Computer Science, Beijing Institute of Technology, Beijing 100081, China;
    2.Science and Technology on Special System Simulation Laboratory Beijing Simulation Center, Beijing 100854, China
  • Received:2018-05-30 Revised:2018-07-01 Online:2018-12-10 Published:2019-01-03

摘要: 针对物联网中多设备、大数据、低延迟的仿真需求,参照边缘计算和雾计算的计算特点和架构,定义了基于微服务的边缘侧仿真的概念及仿真模式。针对“云仿真”的链路束缚和高延迟处理缺陷,设计了融合边缘计算和雾计算的轻量级边缘侧仿真平台框架,并结合LVC仿真体系进一步地加快仿真速度实现实时仿真。与现有的仿真框架相比,该边缘侧仿真框架具有轻量化、高实时性、服务化、与物联网有机融合等显著特点,可以从多方面提高仿真应用的协作、共享、资源管理等能力。

关键词: LVC仿真, 边缘计算, 雾计算, 建模与仿真

Abstract: Aiming at the multi-devices, big data and low-latency simulation requirements in the Internet of Things, we define a concept of edge-side simulation and a simulation mode based on micro-services referring to the computational characteristics and architecture of edge computing and fog computing. For the link constraint and high-latency processing defects of "cloud simulation", a lightweight edge-side simulation platform framework combining edge computing and fog computing is designed, and the simulation speed is further accelerated by real-time simulation with LVC simulation system. Compared with the existing simulation frameworks, the edge-side simulation framework has the remarkable features of lightweight, high real-time, service, and organic integration with the Internet of Things, and can improve the collaboration, sharing, resource management and other capabilities of the simulation application from various aspects.

Key words: LVC simulation, edge computing, fog computing, simulation and emulation

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