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作 者:翟岩龙[1] 孙文心 包天虹 杨凯 卿杜政[2] Zhai Yanlong;Sun Wenxin;Bao Tianhong;Yang Kai;Qing Duzheng(School of Computer Science,Beijing Institute of Technology,Beijing 100081,China;Science and Technology on Special System Simulation Laboratory Beijing Simulation Center,Beijing 100854,China)
机构地区:[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
出 处:《系统仿真学报》2018年第12期4536-4545,共10页Journal of System Simulation
基 金:国家自然科学基金(61602037);装备预研领域基金(61400010104)
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。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.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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