As the world’s major economies and technologies have matured, they are dominated by service-focused approach leading to study and analysis of service models for improved understanding and efficiency. Research in this direction has been done on various parameters of the finite queues using different approaches. The study discussed in this paper deals with the stationary behavior of two-stage queuing system with infinite capacity where any arriving customer is serviced in two stages in a mutually exclusion fashion. The steady state system size probabilities for the infinite capacity queueing system with two stages of service are obtained in recursive form. Further, numerical interpretations are presented to depict the system behavior for values of the parameters.
Keywords: Generating function, infinite queueing system, discrete time, two-stage service
@article{RO_2021__55_S1_S2349_0,
author = {Sudhesh, R. and Vaithiyanathan, A.},
title = {Stationary analysis of infinite queueing system with two-stage network server},
journal = {RAIRO. Operations Research},
pages = {S2349--S2357},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
doi = {10.1051/ro/2020076},
mrnumber = {4223166},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2020076/}
}
TY - JOUR AU - Sudhesh, R. AU - Vaithiyanathan, A. TI - Stationary analysis of infinite queueing system with two-stage network server JO - RAIRO. Operations Research PY - 2021 SP - S2349 EP - S2357 VL - 55 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2020076/ DO - 10.1051/ro/2020076 LA - en ID - RO_2021__55_S1_S2349_0 ER -
%0 Journal Article %A Sudhesh, R. %A Vaithiyanathan, A. %T Stationary analysis of infinite queueing system with two-stage network server %J RAIRO. Operations Research %D 2021 %P S2349-S2357 %V 55 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2020076/ %R 10.1051/ro/2020076 %G en %F RO_2021__55_S1_S2349_0
Sudhesh, R.; Vaithiyanathan, A. Stationary analysis of infinite queueing system with two-stage network server. RAIRO. Operations Research, Tome 55 (2021), pp. S2349-S2357. doi: 10.1051/ro/2020076
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