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Bibliographic Details
Main Authors: Ko, Young Myoung, Pender, Jamol, Xu, Jin
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2308.04684
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author Ko, Young Myoung
Pender, Jamol
Xu, Jin
author_facet Ko, Young Myoung
Pender, Jamol
Xu, Jin
contents In this paper, we investigate the number of customers that overlap or coincide with a virtual customer in an Erlang-A queue. Our study provides a novel approach that exploits fluid and diffusion limits for the queue to approximate the mean and variance of the number of overlapping customers. We conduct a detailed analysis of the fluid and diffusion limit differential equations to derive these approximations. We also construct new accurate approximations for the mean and variance of the waiting time in the Erlang-A queue by combining fluid limits with the polygamma function. Our findings have important implications for queueing theory and evaluating the overlap risk of more complicated service systems.
format Preprint
id arxiv_https___arxiv_org_abs_2308_04684
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The Number of Overlapping Customers in Erlang-A Queues: An Asymptotic Approach
Ko, Young Myoung
Pender, Jamol
Xu, Jin
Probability
Optimization and Control
In this paper, we investigate the number of customers that overlap or coincide with a virtual customer in an Erlang-A queue. Our study provides a novel approach that exploits fluid and diffusion limits for the queue to approximate the mean and variance of the number of overlapping customers. We conduct a detailed analysis of the fluid and diffusion limit differential equations to derive these approximations. We also construct new accurate approximations for the mean and variance of the waiting time in the Erlang-A queue by combining fluid limits with the polygamma function. Our findings have important implications for queueing theory and evaluating the overlap risk of more complicated service systems.
title The Number of Overlapping Customers in Erlang-A Queues: An Asymptotic Approach
topic Probability
Optimization and Control
url https://arxiv.org/abs/2308.04684