A workload factorization for BMAP/G/1 vacation queues under variable service speed

This paper proposes a simple factorization property for the workload distribution of the BMAP/G/1/ vacation queues under variable service speed. The server provides service at different service speeds depending on the phases of the underlying Markov chain. Using the factorization principle, the work...

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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: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/99964
http://hdl.handle.net/10220/18458
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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 This paper proposes a simple factorization property for the workload distribution of the BMAP/G/1/ vacation queues under variable service speed. The server provides service at different service speeds depending on the phases of the underlying Markov chain. Using the factorization principle, the workload distribution at any arbitrary time point can be easily derived only by obtaining the distribution during the idle period. We prove the factorization property and the moments formula. Lastly, we provide some applications of our factorization principle.
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spelling ntu-10356/999642020-03-07T13:22:19Z A workload factorization for BMAP/G/1 vacation queues under variable service speed Baek, Jung Woo Lee, Ho Woo Lee, Se Won Ahn, Soohan School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering This paper proposes a simple factorization property for the workload distribution of the BMAP/G/1/ vacation queues under variable service speed. The server provides service at different service speeds depending on the phases of the underlying Markov chain. Using the factorization principle, the workload distribution at any arbitrary time point can be easily derived only by obtaining the distribution during the idle period. We prove the factorization property and the moments formula. Lastly, we provide some applications of our factorization principle. 2014-01-13T04:46:31Z 2019-12-06T20:14:05Z 2014-01-13T04:46:31Z 2019-12-06T20:14:05Z 2013 2013 Journal Article Baek, J. W., Lee, H. W., Lee, S. W., & Ahn, S. (2014). A workload factorization for BMAP/G/1 vacation queues under variable service speed. Operations Research Letters, 42(1), 58-63. https://hdl.handle.net/10356/99964 http://hdl.handle.net/10220/18458 10.1016/j.orl.2013.11.009 175174 en Operations research letters © 2013 Elsevier B.V.
spellingShingle DRNTU::Engineering::Mechanical engineering
Baek, Jung Woo
Lee, Ho Woo
Lee, Se Won
Ahn, Soohan
A workload factorization for BMAP/G/1 vacation queues under variable service speed
title A workload factorization for BMAP/G/1 vacation queues under variable service speed
title_full A workload factorization for BMAP/G/1 vacation queues under variable service speed
title_fullStr A workload factorization for BMAP/G/1 vacation queues under variable service speed
title_full_unstemmed A workload factorization for BMAP/G/1 vacation queues under variable service speed
title_short A workload factorization for BMAP/G/1 vacation queues under variable service speed
title_sort workload factorization for bmap g 1 vacation queues under variable service speed
topic DRNTU::Engineering::Mechanical engineering
url https://hdl.handle.net/10356/99964
http://hdl.handle.net/10220/18458
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