Rank-based stochastic differential inclusions and diffusion limits for a load balancing model

Fuente: arXiv
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Autori principali: Atar, Rami, Ichiba, Tomoyuki
Natura: Preprint
Pubblicazione: 2024
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author Atar, Rami
Ichiba, Tomoyuki
author_facet Atar, Rami
Ichiba, Tomoyuki
contents In an earlier paper, a randomized load balancing model was studied in a heavy traffic asymptotic regime where the load balancing stream is thin compared to the total arrival stream. It was shown that the limit is given by a system of rank-based Brownian particles on the half-line. This paper extends these results from the case of exponential service time to an invariance principle, where service times have finite second moment. The main tool is a new notion of rank-based stochastic differential inclusion, which may be of interest in its own right.
format Preprint
id arxiv_https___arxiv_org_abs_2409_15121
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Rank-based stochastic differential inclusions and diffusion limits for a load balancing model
Atar, Rami
Ichiba, Tomoyuki
Probability
60K25, 60J60, 60H10, 34A60
In an earlier paper, a randomized load balancing model was studied in a heavy traffic asymptotic regime where the load balancing stream is thin compared to the total arrival stream. It was shown that the limit is given by a system of rank-based Brownian particles on the half-line. This paper extends these results from the case of exponential service time to an invariance principle, where service times have finite second moment. The main tool is a new notion of rank-based stochastic differential inclusion, which may be of interest in its own right.
title Rank-based stochastic differential inclusions and diffusion limits for a load balancing model
topic Probability
60K25, 60J60, 60H10, 34A60
url https://arxiv.org/abs/2409.15121