系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (12): 3924-3931.doi: 10.12305/j.issn.1001-506X.2023.12.22

• 系统工程 • 上一篇    

基于SAAS的LVC装备试验资源实时调度模型研究

杜楠, 彭文成, 谭亚新   

  1. 陆军装甲兵学院演训中心, 北京 100072
  • 收稿日期:2021-08-17 出版日期:2023-11-25 发布日期:2023-12-05
  • 通讯作者: 彭文成
  • 作者简介:杜楠 (1987—), 女, 博士研究生, 主要研究方向为装备作战与保障仿真
    彭文成 (1966—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为作战试验与仿真
    谭亚新 (1979—), 男, 副教授, 硕士研究生导师, 博士, 主要研究方向为作战试验与仿真

Research on real-time scheduling model of LVC equipment test resources based on SAAS

Nan DU, Wencheng PENG, Yaxin TAN   

  1. Military Exercise and Training Center, Army Academy of Armored Forces, Beijing 100072, China
  • Received:2021-08-17 Online:2023-11-25 Published:2023-12-05
  • Contact: Wencheng PENG

摘要:

真实-虚拟-构造仿真为装备体系试验提供了有效技术手段。针对试验中大量异构仿真资源对象间的交互难以满足试验任务实时性需求问题, 开展仿真资源实时调度模型研究。分析模型的功能组成, 将调度模型划分为远程方法通信实现、远程方法云服务、优化调度策略3个子模型, 分析各子模型的功能及其之间的关系, 给出模型运行的步骤以及实现原理, 并构建标准实验环境, 验证模型算法。实验表明, 在模型时延要求小于1 ms的标准测试环境下, 云服务环境最多可承载大约30个节点同时提出订阅需求, 并且调度成功率均大于98.5%, 丢包率为0, 符合模型性能要求。

关键词: 仿真即服务, 真实-虚拟-构造, 装备试验资源, 实时调度模型

Abstract:

Live-virtual-construction (LVC) simulation provides effective technical means for equipment system test. In order to solve the problem that the interaction between a large number of heterogeneous simulation resource objects in the test could not meet the real-time demand of the test task, the real-time scheduling model of simulation resources is researched. The functional components of the model are analyzed, and the scheduling model is divided into three sub-models: remote method communication implementation, remote method cloud service, and optimized scheduling strategy. The functions of each sub-model and their relationships are analyzed, the operation steps and implementation principles of the model are given. A standard experimental environment is constructed to verify the model algorithm. The experiment shows that under the standard test environment where the delay requirement of the model is less than 1 ms, the cloud service environment can bear the subscription requirement of about 30 nodes at most at the same time, and the scheduling success rate is all more than 98.5% and the packet loss rate is 0, which meets the performance requirements of the model.

Key words: simulation as a service (SAAS), live-virtual-constructive (LVC), equipment test resource, real-time scheduling model

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