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The generalized join the shortest orbit queue system: stability, exact tail asymptotics and stationary approximations

Published online by Cambridge University Press:  19 January 2022

Ioannis Dimitriou Open the ORCID record for Ioannis Dimitriou [Opens in a new window]
Ioannis Dimitriou*
Affiliation:
Department of Mathematics, University of Patras, 26504 Patras, Greece. E-mail: idimit@math.upatras.gr
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Abstract

We introduce the generalized join the shortest queue model with retrials and two infinite capacity orbit queues. Three independent Poisson streams of jobs, namely a smart, and two dedicated streams, flow into a single-server system, which can hold at most one job. Arriving jobs that find the server occupied are routed to the orbits as follows: Blocked jobs from the smart stream are routed to the shortest orbit queue, and in case of a tie, they choose an orbit randomly. Blocked jobs from the dedicated streams are routed directly to their orbits. Orbiting jobs retry to connect with the server at different retrial rates, i.e., heterogeneous orbit queues. Applications of such a system are found in the modeling of wireless cooperative networks. We are interested in the asymptotic behavior of the stationary distribution of this model, provided that the system is stable. More precisely, we investigate the conditions under which the tail asymptotic of the minimum orbit queue length is exactly geometric. Moreover, we apply a heuristic asymptotic approach to obtain approximations of the steady-state joint orbit queue-length distribution. Useful numerical examples are presented and shown that the results obtained through the asymptotic analysis and the heuristic approach are agreed.

Keywords

Exact tail asymptoticsGeneralized join the shortest orbit queueRetrialsStabilityStationary approximations
Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 37 , Issue 1 , January 2023 , pp. 154 - 191
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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