An SMDP model for a multiclass multi-server queueing control problem considering conversion times
Zhicong Zhang; Na Li; Shuai Li; Xiaohui Yan; Jianwen Guo
RAIRO - Operations Research - Recherche Opérationnelle (2014)
- Volume: 48, Issue: 4, page 615-639
- ISSN: 0399-0559
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topZhang, Zhicong, et al. "An SMDP model for a multiclass multi-server queueing control problem considering conversion times." RAIRO - Operations Research - Recherche Opérationnelle 48.4 (2014): 615-639. <http://eudml.org/doc/275006>.
@article{Zhang2014,
abstract = {We address a queueing control problem considering service times and conversion times following normal distributions. We formulate the multi-server queueing control problem by constructing a semi-Markov decision process (SMDP) model. The mechanism of state transitions is developed through mathematical derivation of the transition probabilities and transition times. We also study the property of the queueing control system and show that optimizing the objective function of the addressed queueing control problem is equivalent to maximizing the time-average reward.},
author = {Zhang, Zhicong, Li, Na, Li, Shuai, Yan, Xiaohui, Guo, Jianwen},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
keywords = {queueing control; semi-Markov decision process; reward; queueing control problem; time-average reward},
language = {eng},
number = {4},
pages = {615-639},
publisher = {EDP-Sciences},
title = {An SMDP model for a multiclass multi-server queueing control problem considering conversion times},
url = {http://eudml.org/doc/275006},
volume = {48},
year = {2014},
}
TY - JOUR
AU - Zhang, Zhicong
AU - Li, Na
AU - Li, Shuai
AU - Yan, Xiaohui
AU - Guo, Jianwen
TI - An SMDP model for a multiclass multi-server queueing control problem considering conversion times
JO - RAIRO - Operations Research - Recherche Opérationnelle
PY - 2014
PB - EDP-Sciences
VL - 48
IS - 4
SP - 615
EP - 639
AB - We address a queueing control problem considering service times and conversion times following normal distributions. We formulate the multi-server queueing control problem by constructing a semi-Markov decision process (SMDP) model. The mechanism of state transitions is developed through mathematical derivation of the transition probabilities and transition times. We also study the property of the queueing control system and show that optimizing the objective function of the addressed queueing control problem is equivalent to maximizing the time-average reward.
LA - eng
KW - queueing control; semi-Markov decision process; reward; queueing control problem; time-average reward
UR - http://eudml.org/doc/275006
ER -
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