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Article
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Mathematics of Operations Research
Article . 1982 . Peer-reviewed
Data sources: Crossref
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Article . 1982
Data sources: DBLP
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Queue Disciplines in Heavy Traffic

Queue disciplines in heavy traffic
Authors: J. F. C. Kingman;

Queue Disciplines in Heavy Traffic

Abstract

A general method of analyzing the behavior in heavy traffic of queues with different impartial queue disciplines is described. There are many possible limiting waiting time distributions though all are mixtures of negative exponentials. The exponential distribution itself, however, shows a degree of robustness to departures from the “first come first served” discipline.

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Keywords

waiting times, impartial queue disciplines, heavy traffic of queues, Queues and service in operations research, 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
Average
Top 10%
Average
Related to Research communities
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