A Markov-modulated fluid flow queueing model under D-policy

We consider a Markov-modulated fluid flow queueing model under D-policy. As soon as the fluid level reaches zero, the server becomes idle. During the idle period, fluid arrives from outside according to an underlying continuous time Markov chain (UMC) and the idle server does not process the fluid....

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Main Authors: Baek, Jung Woo, Lee, Ho Woo, Lee, Se Won, Ahn, Soohan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/96923
http://hdl.handle.net/10220/10393
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author Baek, Jung Woo
Lee, Ho Woo
Lee, Se Won
Ahn, Soohan
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Baek, Jung Woo
Lee, Ho Woo
Lee, Se Won
Ahn, Soohan
author_sort Baek, Jung Woo
collection NTU
description We consider a Markov-modulated fluid flow queueing model under D-policy. As soon as the fluid level reaches zero, the server becomes idle. During the idle period, fluid arrives from outside according to an underlying continuous time Markov chain (UMC) and the idle server does not process the fluid. We consider two increase patterns of fluid during the idle period: vertical increase (Type-V) and linear increase (Type-L). The idle server is reactivated only when the cumulative fluid level in the system exceeds a predetermined threshold value D. We derive the distributions of fluid level and mean performance measures for both types. We also present cost optimization model to minimize average operating cost per unit time.
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spelling ntu-10356/969232020-03-07T13:22:14Z A Markov-modulated fluid flow queueing model under D-policy Baek, Jung Woo Lee, Ho Woo Lee, Se Won Ahn, Soohan School of Mechanical and Aerospace Engineering We consider a Markov-modulated fluid flow queueing model under D-policy. As soon as the fluid level reaches zero, the server becomes idle. During the idle period, fluid arrives from outside according to an underlying continuous time Markov chain (UMC) and the idle server does not process the fluid. We consider two increase patterns of fluid during the idle period: vertical increase (Type-V) and linear increase (Type-L). The idle server is reactivated only when the cumulative fluid level in the system exceeds a predetermined threshold value D. We derive the distributions of fluid level and mean performance measures for both types. We also present cost optimization model to minimize average operating cost per unit time. 2013-06-14T03:19:08Z 2019-12-06T19:36:40Z 2013-06-14T03:19:08Z 2019-12-06T19:36:40Z 2011 2011 Journal Article Baek, J. W., Lee, H. W., Lee, S. W., & Ahn, S. (2011). A Markov-modulated fluid flow queueing model under D-policy. Numerical Linear Algebra with Applications, 18(6), 993-1010. 1099-1506 https://hdl.handle.net/10356/96923 http://hdl.handle.net/10220/10393 10.1002/nla.811 173650 en Numerical linear algebra with applications © 2011 John Wiley & Sons, Ltd.
spellingShingle Baek, Jung Woo
Lee, Ho Woo
Lee, Se Won
Ahn, Soohan
A Markov-modulated fluid flow queueing model under D-policy
title A Markov-modulated fluid flow queueing model under D-policy
title_full A Markov-modulated fluid flow queueing model under D-policy
title_fullStr A Markov-modulated fluid flow queueing model under D-policy
title_full_unstemmed A Markov-modulated fluid flow queueing model under D-policy
title_short A Markov-modulated fluid flow queueing model under D-policy
title_sort markov modulated fluid flow queueing model under d policy
url https://hdl.handle.net/10356/96923
http://hdl.handle.net/10220/10393
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