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GI/G/1 processor sharing queue in heavy traffic

Published online by Cambridge University Press:  01 July 2016

Sergei Grishechkin*
Affiliation:
Moscow State University
*
* Postal address: Warshavskoje shosse, d.88 kv. 43, Moscow 113556, Russia.

Abstract

Consider GI/G/1 processor sharing queues with traffic intensity tending to 1. Using the theory of random measures and the theory of branching processes we investigate the limiting behaviour of the queue length, sojourn time and random measures describing attained and residual processing times of customers present.

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 1994 

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Footnotes

Research supported by ISF.

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