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PERFORMANCE ANALYSIS OF COMPUTING SYSTEM UNDER PREVENTIVE MAINTENANCE.

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Title: PERFORMANCE ANALYSIS OF COMPUTING SYSTEM UNDER PREVENTIVE MAINTENANCE.
Authors: Kumar, Ajay1 ajay61286@gmail.com, Gupta, Shruti2 shruti.gupta@poornima.org, Kaushik, Vishal3 vishal.kaushik@hietgroup.org, Sharma, Ajay4 ajay.sharma@shobhituniversity.ac.in, Sophers, J.5 sophersj@kongunadu.ac.in
Source: Reliability: Theory & Applications. Mar2026, Vol. 21 Issue 1, p255-260. 6p.
Subjects: Computer system failures, Stochastic models, Applied sciences, Reliability in engineering, Computer systems, Software failures
Abstract: In the fast growing age of digitalization, computing systems are widely used to control the machines. Generally, the computing system is an organized collection of hardware and software to perform a particular task. The computing system can stop the function when hardware failed or software failed. Therefore, a stochastic model is developed using preventive maintenance to increase its performance. It is maintained by the technician when its hardware or software failed, and preference is given to the hardware repair before software upgradation. Here, the hardware failure time, software failure time, hardware repair time, software upgradation time, preventive maintenance request time and preventive maintenance time follow general distributions. Graphs threw light on the reliability measures of computing system. [ABSTRACT FROM AUTHOR]
Copyright of Reliability: Theory & Applications is the property of International Group on Reliability and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: PERFORMANCE ANALYSIS OF COMPUTING SYSTEM UNDER PREVENTIVE MAINTENANCE.
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  Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Ajay%22">Kumar, Ajay</searchLink><relatesTo>1</relatesTo><i> ajay61286@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Shruti%22">Gupta, Shruti</searchLink><relatesTo>2</relatesTo><i> shruti.gupta@poornima.org</i><br /><searchLink fieldCode="AR" term="%22Kaushik%2C+Vishal%22">Kaushik, Vishal</searchLink><relatesTo>3</relatesTo><i> vishal.kaushik@hietgroup.org</i><br /><searchLink fieldCode="AR" term="%22Sharma%2C+Ajay%22">Sharma, Ajay</searchLink><relatesTo>4</relatesTo><i> ajay.sharma@shobhituniversity.ac.in</i><br /><searchLink fieldCode="AR" term="%22Sophers%2C+J%2E%22">Sophers, J.</searchLink><relatesTo>5</relatesTo><i> sophersj@kongunadu.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Reliability%3A+Theory+%26+Applications%22">Reliability: Theory & Applications</searchLink>. Mar2026, Vol. 21 Issue 1, p255-260. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+system+failures%22">Computer system failures</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+models%22">Stochastic models</searchLink><br /><searchLink fieldCode="DE" term="%22Applied+sciences%22">Applied sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Software+failures%22">Software failures</searchLink>
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  Data: In the fast growing age of digitalization, computing systems are widely used to control the machines. Generally, the computing system is an organized collection of hardware and software to perform a particular task. The computing system can stop the function when hardware failed or software failed. Therefore, a stochastic model is developed using preventive maintenance to increase its performance. It is maintained by the technician when its hardware or software failed, and preference is given to the hardware repair before software upgradation. Here, the hardware failure time, software failure time, hardware repair time, software upgradation time, preventive maintenance request time and preventive maintenance time follow general distributions. Graphs threw light on the reliability measures of computing system. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Reliability: Theory & Applications is the property of International Group on Reliability and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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              Text: Mar2026
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