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

Abstract

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.