Research on Aircraft Sortie Generation Rate Using Multi-Class Closed Queueing Network

Mao Zheng; Chao Wang; Yu Juan Wang; Sheng Huang

doi:10.4028/www.scientific.net/AMM.380-384.1864

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Research on Aircraft Sortie Generation Rate Using...

Research on Aircraft Sortie Generation Rate Using Multi-Class Closed Queueing Network

Abstract:

To analysis the sortie generation rate (SGR) of carrier-based aircrafts, an analytical method based on closed queueing network was carried out. A multi-class, multi-server non-preemptive (or Head of Line, HOL) closed queueing network model was developed. An approximate method based on reduced work-load assumption and mean value analysis (MVA) iteration was used to gain the performance of the network. As a result, this approximate method can provide the marginal distribution of aircrafts at each service facility of the queueing network.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1864-1867

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1864

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Online since:

August 2013

Authors:

Mao Zheng, Chao Wang, Yu Juan Wang, Sheng Huang

Keywords:

Closed Queueing Network, HOL, MVA, SGR

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References

[1] Dietz D C, Jerkins R C. Analysis of Aircraft Sortie with the use of a fork-join queueing network model[J]. Naval Logistics Research, 1997, 2(44): 153-164.

DOI: 10.1002/(sici)1520-6750(199703)44:2<153::aid-nav1>3.0.co;2-8

Google Scholar

[2] XIA Cuoqing, CHEN Hongzhao, WANG Yuanhui. Analysis of aircraft sortie generation rate based on closed queueing network model[J]. Journal of System Engineering , 2011, 26(5): 686-693(in Chinese).

Google Scholar

[3] James W. Harris J. The Sortie Generation Rate Model[C]/ The 2002 Winter Simulation Conference, USA: Simulation conference, 2002: 864-868.

Google Scholar

[4] Priya N W, Anura P J, Duane C B. A Nonpreemptive Priority Delay Model with Modified-Vacation Intervals for Homogeneous FDDI Networks[C]/ Proceedings IEEE INFOCOM'95, USA: Local Computer Networks, 1995: 1282-1289.

DOI: 10.1109/infcom.1995.516008

Google Scholar

[5] Chandramouli B H. MultiClass MultiServer Closed Priority Queueing Networks with Preemptive Resume[C]/ Computer Perfermance Evalution CMPE230, USA: CMPE, 2002: 1-12.

Google Scholar

[6] Bryant R M, Krzesinski A E, Lakshmi M S. The MVA Priority Approximation[J] ACM Transactions on Computer Systems, 1984, 2(4): 335-359.

DOI: 10.1145/357401.357406

Google Scholar

[7] Akyildiz I F, Gunter B. Mean Value Analysis Approximation for Multiple Server Queueing Networks[J]. Performance Evaluation, 1988, 2(8): 77-91.

DOI: 10.1016/0166-5316(88)90015-6

Google Scholar

[8] Reiser M. A Queueing Network Analysis of Computer Communication Networks with Window Flow Control[J]. IEEE Trans. Commun, 1979, 27(8): 1199-1209.

DOI: 10.1109/tcom.1979.1094531

Google Scholar

[9] Baynat B, Dallery Y. A Product-form Approximation Method for General Closed Queueing Networks with Several Classes of Customerers[J]. Performance Evaluation, 1996, 24(22): 165-188.

DOI: 10.1016/0166-5316(94)00028-x

Google Scholar