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Bibliographic Details
Main Authors: Ascione, Giacomo, Caputo, Luigia
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2602.16521
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author Ascione, Giacomo
Caputo, Luigia
author_facet Ascione, Giacomo
Caputo, Luigia
contents In this paper, we consider five models of heavy-tailed queues involving Mittag-Leffler distributions that generalize the classical $M/M/1$ queues. These models are suitable modifications of previously defined models in such a way that the classical $M/M/1$ queue can be recovered by a suitable selection of parameters. We provide the distribution of inter-arrival and service times of both the original and modified queueing models. We then study the scaling limits of all the proposed models and we argue that the behaviour of the limiting processes can be used to characterise the traffic regime of the queues.
format Preprint
id arxiv_https___arxiv_org_abs_2602_16521
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Scaling limits for some Mittag-Leffler queues
Ascione, Giacomo
Caputo, Luigia
Probability
In this paper, we consider five models of heavy-tailed queues involving Mittag-Leffler distributions that generalize the classical $M/M/1$ queues. These models are suitable modifications of previously defined models in such a way that the classical $M/M/1$ queue can be recovered by a suitable selection of parameters. We provide the distribution of inter-arrival and service times of both the original and modified queueing models. We then study the scaling limits of all the proposed models and we argue that the behaviour of the limiting processes can be used to characterise the traffic regime of the queues.
title Scaling limits for some Mittag-Leffler queues
topic Probability
url https://arxiv.org/abs/2602.16521