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Queueing Systems
Article
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Queueing Systems
Article . 1990 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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zbMATH Open
Article . 1990
Data sources: zbMATH Open
DBLP
Article . 1990
Data sources: DBLP
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Closed queueing networks with batch services

Authors: William Henderson; Charles E. M. Pearce; Peter G. Taylor; Nico M. van Dijk;

Closed queueing networks with batch services

Abstract

The authors consider closed queueing networks which are useful for discrete-time models and extend the product-form networks in the literature in two ways: (a) different size batches of customers can depart from several queues simultaneously; (b) the rate at which batches are worked on has a more general form. The following three cases are under consideration: (1) Closed networks in which individual customers are labelled; (2) Closed networks in which individual customers are not distinguished; (3) Networks in which customers occupy labelled positions at each queue. For all these cases the product-form results are obtained.

Keywords

Applications of Markov renewal processes (reliability, queueing networks, etc.), closed queueing networks, product- form networks, batch services, Queueing theory (aspects of probability theory), discrete-time queues

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    popularity
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    Average
    influence
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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!
47
Average
Top 10%
Top 10%
bronze