基于云原生的仿真平台的设计与实现

Design and Implementation of A Cloud Native Simulation Platform

随着仿真需求的增加,仿真系统的规模和复杂性也在日益扩大。为了建立一种动态可重组、分布式和可重用性的建模仿真系统,文中提出了一种基于云原生的建模仿真平台,对其技术内涵、体系特点及系统结构进行了论述。研究表明,“云原生”平台具有按需共享、协同仿真、容错运行等特点,可满足仿真规模动态扩大的要求。该平台综合运用深度学习、云原生等技术,实现了仿真资源虚拟化,并按需满足用户的仿真需求,实现了多用户协同操作。

With the increasing demand for simulation,the scale and complexity of simulation systems are expanding.In order to establish a dynamically reconfigurable,distributed,and reusable modeling and simulation system,this paper proposes a cloud native modeling and simulation platform,and discusses its technical connotation,system characteristics,and system structure.Research has shown that"eloud native"platforms have the characteristics of on-demand sharing,collaborative simulation,and fault-tolerant operation,meeting the requirements of dynamic expansion of simulation scale.This platform integrates deep learning,cloud native and other technologies to achieve virtualization of simulation re sources and meet user simulation needs on demand,achieving multi-user collaborative operation.