Performance of computer system with three types of failure using weibull distribution subject to hardware repair and software up-gradation

Ajay Kumar (), Reena Garg () and M. S. Barak ()
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Ajay Kumar: J.C. Bose UST, YMCA
Reena Garg: J.C. Bose UST, YMCA
M. S. Barak: Indira Gandhi University

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 1, No 34, 483-491

Abstract: Abstract A computer system’s hardware and software work together to ensure that it runs smoothly. This article may be used to calculate the performance and profit of a computer system that includes hardware maintenance and software upgrades. Weibull distribution, regeneration point technique, and semi-Markov approach are used to create a stable cold standby redundant system. The scale parameter and standard shape parameter of the Weibull distribution are distinct. Hardware or software problems has caused the system to fail. The Weibull distribution governs all forms of failure, repair, and upgrade rates. To get out of this condition, all types of failures must be solved by a single repairman. The significance of the study is demonstrated by numerical estimates for mean time to system breakdown, availability, and profit function.

Keywords: Computer system; Cold standby; Redundant system; Regenerative point; Weibull distribution (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-023-01879-3

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