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On the Nonsymmetric Longer Queue Model: Joint Distribution, Asymptotic Properties, and Heavy Traffic Limits
Author(s) -
Charles Knessl,
Haishen Yao
Publication year - 2013
Publication title -
advances in operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 14
eISSN - 1687-9155
pISSN - 1687-9147
DOI - 10.1155/2013/680539
Subject(s) - queue , poisson distribution , computer science , joint probability distribution , algorithm , distribution (mathematics) , node (physics) , exponential distribution , mathematics , statistics , physics , computer network , mathematical analysis , quantum mechanics
We consider two parallel queues, each with independent Poisson arrival rates, that are tended by a single server. The exponential server devotes all of its capacity to the longer of the queues. If both queues are of equal length, the server devotes of its capacity to the first queue and the remaining to the second. We obtain exact integral representations for the joint probability distribution of the number of customers in this two-node network. Then we evaluate this distribution in various asymptotic limits, such as large numbers of customers in either/both of the queues, light traffic where arrivals are infrequent, and heavy traffic where the system is nearly unstable.

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