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Article . 1999 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1999
Data sources: zbMATH Open
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Matrix analytic methods for a multi-server retrial queue with buffer

Authors: Diamond, Jeffrey E.; Alfa, Attahiru Sule;

Matrix analytic methods for a multi-server retrial queue with buffer

Abstract

In the paper reviewed above the authors have studied single server retrial queues. In this paper, they extend their results for multi-server retrial queues with Markovian arrival process, phase type service time distribution with two states and finite buffer. They obtain the stationary distribution of states and moments of the waiting time using level dependent Markov processes. Solutions are obtained by efficient application of block application of block Gaussian elimination.

Related Organizations
Keywords

Markovian arrival process, finite buffer, Queueing theory (aspects of probability theory), multi-server

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selected citations
These citations are derived from selected sources.
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!
20
Average
Top 10%
Average
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