Research on reliability benchmarking and dynamic performance evaluation method of Linux system based on fuzzy comprehensive evaluation

Abstract

With the rapid development of information technology, Linux operating system, as an open source system, is widely used in servers, embedded devices, and cloud computing platforms. Because of its stability, flexibility, and efficiency, Linux systems play a role in many key areas. However, with the complexity of application environment and the expansion of system scale, the reliability and performance evaluation of Linux system have gradually become the focus of research. Based on fuzzy comprehensive evaluation method, this paper proposes a new reliability benchmarking and dynamic performance evaluation method of Linux system. By constructing a fuzzy evaluation model, the reliability of Linux system is comprehensively and quantitatively evaluated, and through comparative analysis, the dynamic performance optimization strategy of Linux system in different running environments is put forward. Based on experimental data and actual usage scenarios, this paper collects performance data of multiple Linux systems in terms of load, network transmission, IO operation, etc., covering mainstream versions such as Ubuntu, CentOS, and Debian. Through fuzzy comprehensive evaluation of these data, the reliability scores of different system versions are obtained, and their performance bottlenecks are deeply analyzed. The experimental results show that the reliability score of Ubuntu system under high load conditions is 82.5%, while the reliability score of CentOS system is slightly lower at 78.3%. Through dynamic performance evaluation, it is found that IO performance fluctuates significantly under high concurrency, which affects the stability and response speed of the system. The evaluation method proposed in this paper can not only accurately reflect the performance of Linux system in practical application but also provide theoretical basis and technical support for system optimization. The research results are of great significance to improve the reliability and performance of Linux systems, especially in large-scale applications and demanding industry environments.