基于马尔可夫过程的私有云安全计算机平台可用性分析

IF 2.7 4区工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY

Transportation Safety and Environment Pub Date : 2023-02-14 DOI:10.1093/tse/tdad004

Limin Fu, Jiakun Wen

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引用次数: 0

摘要

为了解决现有私有云安全计算机平台的可用性分析难以计算的问题，本文提出了一种基于马尔可夫过程的私有云安全计算平台的可执行可用性分析方法。首先，根据私有云安全计算机平台的特点，将执行器分为运行、热备和冷备三种状态。其次，建立了私有云安全计算机平台的动态迁移马尔可夫模型。然后求解了基于马尔可夫过程的方程组。最后，利用基于马尔可夫过程的私有云安全计算机平台可用性分析模型，分析了影响平台可用性的因素。实验结果表明，增加热备用执行器的数量可以提高平台的可用性。

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Availability analysis of private cloud safety computer platform based on markov process

To solve the problem that it is difficult to calculate the availability analysis of the existing private cloud safety computer platform, this paper proposes an executable availability analysis method of the private cloud safety computer platform based on Markov process. Firstly, according to the characteristics of private cloud safety computer platform, the executor is divided into three states: running, hot standby and cold standby. Secondly, the dynamic migration Markov model of private cloud safety computer platform is established. Then the equations based on Markov process are solved. Finally, the availability analysis model of private cloud safety computer platform based on Markov process is used to analyze the factors affecting the availability of the platform. Experimental results show that increasing the number of hot spare actuators can improve platform availability.

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来源期刊

Transportation Safety and Environment TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

3.90

自引率

13.60%

发文量

审稿时长

10 weeks