Heavy traffic limit of stationary distribution of the multi-level single server queue

Fuente: arXiv
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Main Authors: Kobayashi, Masahiro, Miyazawa, Masakiyo, Sakuma, Yutaka
Format: Preprint
Published: 2025
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_version_ 1866913823116492800
author Kobayashi, Masahiro
Miyazawa, Masakiyo
Sakuma, Yutaka
author_facet Kobayashi, Masahiro
Miyazawa, Masakiyo
Sakuma, Yutaka
contents Atar and Miyazawa recently introduced a single server queue with queue length dependent arrival and service processes, and name it a multi-level queue. They prove that the heavy traffic limit of its queue length process weakly converges to a reflected diffusion with discontinuously state-dependent drift and deviations. We derive the heavy traffic limit of the stationary queue length distribution of this multi-level queue in a closed form, which agrees with the stationary distribution of the reflected diffusion obtained by Miyazawa (2024, Journal of the Indian Society for Probability and Statistics). Thus, those results show the limit interchange of process and stationary distribution in heavy traffic. The multi-level queue is a simpler version of the 2-level GI/G/1 queue of Miyazawa (2025, Advances in Applied Probability, to appear) and its extension for multi-levels. For this 2-level queue in heavy traffic, the process limit is unknown, and the distributional limit is obtained for limited cases under extra conditions. Nevertheless, it is shown that the method developed in Miyazawa (2025) perfectly works for the present multi-level queue.
format Preprint
id arxiv_https___arxiv_org_abs_2505_03504
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Heavy traffic limit of stationary distribution of the multi-level single server queue
Kobayashi, Masahiro
Miyazawa, Masakiyo
Sakuma, Yutaka
Probability
Optimization and Control
60K25, 60G10, 60M20, 60J25, 60G55
Atar and Miyazawa recently introduced a single server queue with queue length dependent arrival and service processes, and name it a multi-level queue. They prove that the heavy traffic limit of its queue length process weakly converges to a reflected diffusion with discontinuously state-dependent drift and deviations. We derive the heavy traffic limit of the stationary queue length distribution of this multi-level queue in a closed form, which agrees with the stationary distribution of the reflected diffusion obtained by Miyazawa (2024, Journal of the Indian Society for Probability and Statistics). Thus, those results show the limit interchange of process and stationary distribution in heavy traffic. The multi-level queue is a simpler version of the 2-level GI/G/1 queue of Miyazawa (2025, Advances in Applied Probability, to appear) and its extension for multi-levels. For this 2-level queue in heavy traffic, the process limit is unknown, and the distributional limit is obtained for limited cases under extra conditions. Nevertheless, it is shown that the method developed in Miyazawa (2025) perfectly works for the present multi-level queue.
title Heavy traffic limit of stationary distribution of the multi-level single server queue
topic Probability
Optimization and Control
60K25, 60G10, 60M20, 60J25, 60G55
url https://arxiv.org/abs/2505.03504