系统仿真学报 ›› 2022, Vol. 34 ›› Issue (4): 679-687.doi: 10.16182/j.issn1004731x.joss.21-1170

• 专栏:面向复杂产品的建模仿真与优化 • 上一篇    下一篇

云仿真系统可信度评估问题探讨

李伟(), 张欢, 马萍, 杨明()   

  1. 哈尔滨工业大学 控制与仿真中心,黑龙江 哈尔滨 150001
  • 收稿日期:2021-11-13 修回日期:2022-03-03 出版日期:2022-04-30 发布日期:2022-04-19
  • 通讯作者: 杨明 E-mail:fleehit@163.com;myang@hit.edu.cn
  • 作者简介:李伟(1980-),男,博士,教授,研究方向为仿真分析和评估。E-mail:fleehit@163.com
  • 基金资助:
    国家重点研发计划(2018YFB1701600)

Research on Credibility Assessment of Cloud Simulation System

Wei Li(), Huan Zhang, Ping Ma, Ming Yang()   

  1. Control and Simulation Center, Harbin Institute of Technology, Harbin 150001, China
  • Received:2021-11-13 Revised:2022-03-03 Online:2022-04-30 Published:2022-04-19
  • Contact: Ming Yang E-mail:fleehit@163.com;myang@hit.edu.cn

摘要:

云仿真平台支持“云仿真”模式,能够自动查找仿真资源、动态构建云仿真系统。由于云仿真平台具有按需构建仿真服务、多粒度资源共享等特点,云仿真系统的可信度评估工作在仿真资源的可信度、仿真子系统的可信度、仿真运行环境的可靠性等方面面临新的问题。从云仿真系统全生命周期角度,建立了云仿真系统的可信度评估过程模型和云仿真系统可信度评估指标体系,并给出了一种仿真资源排序评估方法,为云仿真系统可信度评估工作提供参考。

关键词: 云仿真, 可信度评估, 过程模型, 指标体系, 排序评估

Abstract:

The cloud simulation platform supports the "cloud simulation" mode, which can automatically find simulation resources and dynamically build the cloud simulation system. Because the cloud simulation platform has the characteristics of simulation services establishment on demand and multi-granularity resources sharing, the credibility evaluation of the cloud simulation system faces new challenges in the credibility of the simulation resources, the credibility of the simulation subsystems and the reliability of the simulation environment, etc. From the whole life cycle perspective of the cloud simulation system, the credibility evaluation process model and the credibility evaluation index system of the cloud simulation system are established respectively and a ranking assessment method for choosing the simulation resources is proposed, which could provide reference for the future credibility evaluation of the cloud simulation system.

Key words: cloud simulation, credibility assessment, process model, index system, ranking assessment

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