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A Cold-Standby System with Server Failure and Delayed Treatment

by R.K. Bhardwaj, R. Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 17
Year of Publication: 2015
Authors: R.K. Bhardwaj, R. Singh
10.5120/ijca2015905823

R.K. Bhardwaj, R. Singh . A Cold-Standby System with Server Failure and Delayed Treatment. International Journal of Computer Applications. 124, 17 ( August 2015), 31-36. DOI=10.5120/ijca2015905823

@article{ 10.5120/ijca2015905823,
author = { R.K. Bhardwaj, R. Singh },
title = { A Cold-Standby System with Server Failure and Delayed Treatment },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 17 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 31-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number17/22198-2015905823/ },
doi = { 10.5120/ijca2015905823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:14:41.740857+05:30
%A R.K. Bhardwaj
%A R. Singh
%T A Cold-Standby System with Server Failure and Delayed Treatment
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 17
%P 31-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper stochastically investigates a two unit cold-standby system with a server subject to failure and getting delayed treatment thereafter. Semi-Markov process is used to develop the system model. The model is analyzed at different regeneration points using regenerative-point technique. The steady-state expressions are derived for various system performance measures such as mean time to failure, availability, busy period of server, expected number of treatments, profit etc. Finally, numerical examples are given to discuss the effect of various parameters on system performance measures.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cold-Standby System Steady State Server Failure Treatment Semi-Markov Processes.

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