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Queueing Systems
Article . 1994 . 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 . 1994
Data sources: zbMATH Open
DBLP
Article . 1994
Data sources: DBLP
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Poisson's equation for queues driven by a Markovian marked point process

Authors: Asmussen, Søren; Bladt, Mogens;

Poisson's equation for queues driven by a Markovian marked point process

Abstract

Let \(\{J_ t\}_{t>0}\) be a finite Markov process, generating a marked point process input, and denote by \(V_ t\) the virtual waiting time at time \(t\) in the queue. This paper dals with Poisson's equation which in the setting \(\{(V_ t, J_ t)\}\) has the form \((*)\) \({\mathcal A}_ g = - f\), where \({\mathcal A}\) is the infinitesimal generator of \(\{(V_ t,J_ t)\}\). The explicit form of a suitable kernel \(K\) is calculated, so that the solution of \((*)\) has the form \(Kf\). Further, these results are applied to the service times having phase-type distributions and for evaluating of variance constants. Though of complicated matrix-analytical form, the results are explicit and computational tractable.

Related Organizations
Keywords

infinitesimal generator, queue, virtual waiting time, Point processes (e.g., Poisson, Cox, Hawkes processes), phase-type distributions, Queueing theory (aspects of probability theory)

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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!
16
Top 10%
Top 10%
Average
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