Uniform Moment Bounds for Generalized Jackson Networks in Multi-scale Heavy Traffic

Fuente: arXiv
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Autori principali: Guang, Jin, Chen, Xinyun, Dai, J. G.
Natura: Preprint
Pubblicazione: 2024
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author Guang, Jin
Chen, Xinyun
Dai, J. G.
author_facet Guang, Jin
Chen, Xinyun
Dai, J. G.
contents We establish uniform moment bounds for steady-state queue lengths of generalized Jackson networks (GJNs) in multi-scale heavy traffic as recently proposed by Dai et al. [2023]. Uniform moment bounds lay the foundation for further analysis of the limit stationary distribution. Our result can be used to verify the crucial moment state space collapse (SSC) assumption in Dai et al. [2023] to establish a product-form limit of GJN in the multi-scale heavy traffic regime. Our proof critically utilizes the Palm version of the basic adjoint relationship (BAR) as developed in Braverman et al. [2023].
format Preprint
id arxiv_https___arxiv_org_abs_2401_14647
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Uniform Moment Bounds for Generalized Jackson Networks in Multi-scale Heavy Traffic
Guang, Jin
Chen, Xinyun
Dai, J. G.
Probability
We establish uniform moment bounds for steady-state queue lengths of generalized Jackson networks (GJNs) in multi-scale heavy traffic as recently proposed by Dai et al. [2023]. Uniform moment bounds lay the foundation for further analysis of the limit stationary distribution. Our result can be used to verify the crucial moment state space collapse (SSC) assumption in Dai et al. [2023] to establish a product-form limit of GJN in the multi-scale heavy traffic regime. Our proof critically utilizes the Palm version of the basic adjoint relationship (BAR) as developed in Braverman et al. [2023].
title Uniform Moment Bounds for Generalized Jackson Networks in Multi-scale Heavy Traffic
topic Probability
url https://arxiv.org/abs/2401.14647