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Reliability analysis of (n) clients system under star topology and copula linguistic approach

Authors: V. V. Singh; Monika Gahlot;

Reliability analysis of (n) clients system under star topology and copula linguistic approach

Abstract

This paper contrasts with the study of a computer laboratory system with n clients under star topology and k-out-of-n: G scheme. The system has two servers, one is operational and another a redundant server. The main server connects the clients, and failure of the main server acknowledge as a partial failure. The system also has another needed device such as switch and router, and failure in switch and router brings the system in the entire failed situation. The main server bears a partial failure, and the redundant server before the repair of the main server brings the system in a completely failed state. The failure rates of transmuting one state to another state are constant and presume to follow an exponential time distribution. The repairs follow two types of distributions the system analysed by employing the supplementary variable and the Laplace transform. The various traditional measures of system performance through reliability context have computed for different types of failures and repair. Some computations reliability parameters corresponding to assumed values of parameters has illustrated as examples.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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