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Digital
Library of the European Council for Modelling and Simulation |
Title: |
System Performance Of A Variable-Capacity
Batch-Service Queue With Geometric Service Times And Customer-Based
Correlation |
Authors: |
Jens Baetens, Bart Steyaer, Dieter Claeys, Herwig Bruneel |
Published in: |
(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay
Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
Citation
format: |
Jens
Baetens, Bart Steyaer,
Dieter Claeys, Herwig Bruneel (2017). System Performance Of A Variable-Capacity
Batch-Service Queue With Geometric Service Times And Customer-Based
Correlation, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0649 |
DOI: |
https://doi.org/10.7148/2017-0649 |
Abstract: |
In
many queueing systems the server processes several
customers simultaneously. Although the capacity of a batch, that is the
number of customers that can be processed simultaneously, is often variable
in practice, nearly all batch-service queueing
models in literature consider a constant capacity. In this paper, we extend
previous work on a batch-service queueing model
with variable server capacity, where customers of two classes are
accommodated in a common first-come-first-served single-server queue. We
include correlation between the classes of consecutive customers, and the
service times are geometrically distributed. We establish the equa- tions that govern the
system behaviour, the stability condition, and an
expression for the steady-state prob- ability
generating function of the system occupancy at random slot boundaries. In
addition, some numerical results are shown to study the impact of the mean
ser- vice times and of the customer-based correlation in the arrival process
on the performance of the queueing system. |
Full
text: |