Issue |
RAIRO-Oper. Res.
Volume 55, Number 4, July-August 2021
|
|
---|---|---|
Page(s) | 2423 - 2437 | |
DOI | https://doi.org/10.1051/ro/2021110 | |
Published online | 25 August 2021 |
Strategic behavior in a vacation queue with delayed observations
1
School of Mathematics and Statistics, Central South University, Changsha 410083, Hunan, P.R. China.
2
Business School, Sun Yat-sen University, Guangzhou 510275, Guangdong, P.R. China.
* Corresponding author: math_lzm@csu.edu.cn
Received:
7
August
2020
Accepted:
21
July
2021
We study an emerging computer network model of delayed observations in which the system is unobservable for the customers at their arrival instants, but after a while, they are informed about their current positions and they may renege. We develop a queueing-game-theoretic vacation model to explore customers’ equilibrium strategy, stationary system behavior and social welfare based on a reward-cost structure. Our main results are as follows. First, we determine a closed form of the customers’ equilibrium strategy, the expected net benefit of a customer and social welfare in the service system. Second, extensive numerical experiments that demonstrate the effect of vacation rate θ and system announcement rate δ on the equilibrium strategy and social welfare. We find that the impact of announcement rate δ is greater than vacation rate θ in some cases. Finally, we show that the equilibrium strategy can give customers more information and reduce the cost of waiting. Moreover, our results can also provide more precise information to the system administrators.
Mathematics Subject Classification: 90B22 / 60K25
Key words: Strategic customers / vacation queue / equilibrium analysis / delayed observations / observable queue / unobservable queue
© The authors. Published by EDP Sciences, ROADEF, SMAI 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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