DocumentCode
780186
Title
Two Parallel M/G/1 Queues where Arrivals Join the System with the Smaller Buffer Content
Author
Knessl, Charles ; Matkowsky, Bernard J. ; Schuss, Zeev ; Tier, Charles
Author_Institution
The Technological Institute, Northwestern Univ., Evanston, IL, USA
Volume
35
Issue
11
fYear
1987
fDate
11/1/1987 12:00:00 AM
Firstpage
1153
Lastpage
1158
Abstract
We consider two parallel, infinite capacity,
queues characterized by (
) with
denoting the unfinished work (buffer content) in queue
. A new arrival is assigned to the queue with the smaller buffer content. We construct formal (as opposed to rigorous) asymptotic approximations to the Joint stationary distribution of the Markov process (
), treating separately the asymptotic limits of heavy traffic, light traffic, and large buffer contents. In heavy traffic, the stochastic processes
and
become independent, with the distribution of
identical to the heavy traffic waiting time distribution in the standard
queue, and the distribution of
closely related to the tail of the service time density. In light traffic, we obtain a formal expansion of the stationary distribution in powers of the arrival rate.
queues characterized by (
) with
denoting the unfinished work (buffer content) in queue
. A new arrival is assigned to the queue with the smaller buffer content. We construct formal (as opposed to rigorous) asymptotic approximations to the Joint stationary distribution of the Markov process (
), treating separately the asymptotic limits of heavy traffic, light traffic, and large buffer contents. In heavy traffic, the stochastic processes
and
become independent, with the distribution of
identical to the heavy traffic waiting time distribution in the standard
queue, and the distribution of
closely related to the tail of the service time density. In light traffic, we obtain a formal expansion of the stationary distribution in powers of the arrival rate.Keywords
Queued communications; Communications Society; Delay; Markov processes; Mathematics; Probability distribution; Routing; Statistics; Stochastic processes; Traffic control; Wide area networks;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOM.1987.1096701
Filename
1096701
Link To Document