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Journal of the Royal Statistical Society Series B (Statistical Methodology)
Article . 1959 . Peer-reviewed
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A Contribution to the Theory of Bulk Queues

A contribution to the theory of bulk queues
Authors: Rupert G. Miller;

A Contribution to the Theory of Bulk Queues

Abstract

Summary Two general models for a queue in which groups of entities arrive at a single service line and are serviced in groups are defined. Various equilibrium properties for both models are established in terms of the traffic intensity ρ. For the special case of Poisson arrivals the first model is analyzed with reference to the imbedded Markov chain, the waiting time, and the busy period. It is demonstrated that if the entities arrive in groups the stationary distribution of the imbedded Markov chain does not agree with the general equilibrium distribution obtained by letting time t → ∞. For the special case of exponential service the stationary distribution of the imbedded Markov chain for the second model is obtained and the waiting time problem is discussed briefly.

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probability theory

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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!
51
Top 10%
Top 1%
Top 10%
hybrid