Diffusion approximation of the stationary distribution of a two-level single server queue

Fuente: arXiv
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Autor principal: Miyazawa, Masakiyo
Formato: Preprint
Publicado: 2023
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author Miyazawa, Masakiyo
author_facet Miyazawa, Masakiyo
contents We consider a single server queue which has a threshold to change its arrival process and service speed by its queue length, which is referred to as a two-level single server queue. This model is motivated by an energy saving problem for a single server queue whose arrival process and service speed are controlled. To get its performance in tractable form, we study the limit of the stationary distribution of the queue length in this two-level queue under scaling in heavy traffic. Except for a special case, this limit corresponds to its diffusion approximation. It is shown that this limiting distribution is truncated exponential (or uniform if the drift is null) below the threshold level and exponential above it under suitably chosen system parameters and generally distributed inter-arrival times and workloads brought by customers. This result is proved under a mild limitation on arrival parameters using the so called BAR approach studied in Braverman, Dai and Miyazawa (2017, 2023) and Miyazawa (2017, 2023). We also intuitively discuss about a diffusion process corresponding to the limit of the stationary distribution under scaling.
format Preprint
id arxiv_https___arxiv_org_abs_2312_11284
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Diffusion approximation of the stationary distribution of a two-level single server queue
Miyazawa, Masakiyo
Probability
60K25, 60J70, 60J25, 60G55, 60M20
We consider a single server queue which has a threshold to change its arrival process and service speed by its queue length, which is referred to as a two-level single server queue. This model is motivated by an energy saving problem for a single server queue whose arrival process and service speed are controlled. To get its performance in tractable form, we study the limit of the stationary distribution of the queue length in this two-level queue under scaling in heavy traffic. Except for a special case, this limit corresponds to its diffusion approximation. It is shown that this limiting distribution is truncated exponential (or uniform if the drift is null) below the threshold level and exponential above it under suitably chosen system parameters and generally distributed inter-arrival times and workloads brought by customers. This result is proved under a mild limitation on arrival parameters using the so called BAR approach studied in Braverman, Dai and Miyazawa (2017, 2023) and Miyazawa (2017, 2023). We also intuitively discuss about a diffusion process corresponding to the limit of the stationary distribution under scaling.
title Diffusion approximation of the stationary distribution of a two-level single server queue
topic Probability
60K25, 60J70, 60J25, 60G55, 60M20
url https://arxiv.org/abs/2312.11284