A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> Queue

Several studies have been conducted on scaling limits for Markov-modulated infinite-server queues. To the best of our knowledge, most of these studies adopt an approach to prove the convergence of the moment-generating function (or characteristic function) of the random variable that represents a sc...

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Main Authors: Ayane Nakamura , Tuan Phung-Duc 
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/9/2088
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author Ayane Nakamura 
Tuan Phung-Duc 
author_facet Ayane Nakamura 
Tuan Phung-Duc 
author_sort Ayane Nakamura 
collection DOAJ
description Several studies have been conducted on scaling limits for Markov-modulated infinite-server queues. To the best of our knowledge, most of these studies adopt an approach to prove the convergence of the moment-generating function (or characteristic function) of the random variable that represents a scaled version of the number of busy servers and show the weak law of large numbers and the central limit theorem (CLT). In these studies, an essential assumption is the finiteness of the phase process and, in most of them, the CLT for the number of busy servers conditional on the phase (or the joint states) has not been considered. This paper proposes a new method called the <i>moment approach</i> to address these two limitations in an infinite-server batch service queue, which is called the M/M<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow></mrow><mi>X</mi></msup></semantics></math></inline-formula>/<i>∞</i> queue. We derive the conditional weak law of large numbers and a recursive formula that suggests the conditional CLT. We derive series expansion of the conditional raw moments, which are used to confirm the conditional CLT by a symbolic algorithm.
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spelling doaj.art-7b517397917b4db684ded2b1c1d39d772023-11-17T23:19:51ZengMDPI AGMathematics2227-73902023-04-01119208810.3390/math11092088A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> QueueAyane Nakamura 0Tuan Phung-Duc 1Graduate School of Science and Technology, University of Tsukuba, Tsukuba 305-8577, JapanInstitute of Systems and Information Engineering, University of Tsukuba, Tsukuba 305-8577, JapanSeveral studies have been conducted on scaling limits for Markov-modulated infinite-server queues. To the best of our knowledge, most of these studies adopt an approach to prove the convergence of the moment-generating function (or characteristic function) of the random variable that represents a scaled version of the number of busy servers and show the weak law of large numbers and the central limit theorem (CLT). In these studies, an essential assumption is the finiteness of the phase process and, in most of them, the CLT for the number of busy servers conditional on the phase (or the joint states) has not been considered. This paper proposes a new method called the <i>moment approach</i> to address these two limitations in an infinite-server batch service queue, which is called the M/M<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow></mrow><mi>X</mi></msup></semantics></math></inline-formula>/<i>∞</i> queue. We derive the conditional weak law of large numbers and a recursive formula that suggests the conditional CLT. We derive series expansion of the conditional raw moments, which are used to confirm the conditional CLT by a symbolic algorithm.https://www.mdpi.com/2227-7390/11/9/2088queueing modelinfinite serverasymptotic analysisweak law of large numberscentral limit theoremmoment approach
spellingShingle Ayane Nakamura 
Tuan Phung-Duc 
A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> Queue
Mathematics
queueing model
infinite server
asymptotic analysis
weak law of large numbers
central limit theorem
moment approach
title A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> Queue
title_full A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> Queue
title_fullStr A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> Queue
title_full_unstemmed A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> Queue
title_short A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M/M<i><sup>X</sup></i>/<i>∞</i> Queue
title_sort moment approach for a conditional central limit theorem of infinite server queue a case of m m i sup x sup i i ∞ i queue
topic queueing model
infinite server
asymptotic analysis
weak law of large numbers
central limit theorem
moment approach
url https://www.mdpi.com/2227-7390/11/9/2088
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