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Maximum Likelihood Estimation of the Dead Time Period Duration in the Modulated Semi-synchronous Generalized Flow of Events Read chapter Read first chapter

2016 | OriginalPaper | Chapter

An Open Queueing Network with a Correlated Input Arrival Process for Broadband Wireless Network Performance Evaluation

Authors : Vladimir Vishnevski, Andrey Larionov, Roman Ivanov

Published in: Information Technologies and Mathematical Modelling - Queueing Theory and Applications

Publisher: Springer International Publishing

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Abstract

In the paper characteristics of an open queueing network with correlated input Markovian arrival processes and phase type distribution of service time in the nodes are studied. The developed methodology is used for the performance evaluation of broadband wireless networks with linear topology. A comparison study of numeric results of analytic modelling and simulation is carried out. To study open queueing networks with MAP input a pyQuMo library has been developed using Python 3 language. The library provides a means for model description, model properties computations by taking advantage of an analytical approach, and simulation as well as results visualisation.

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previous chapter Phase Transitions in Multiserver Queuing Systems
next chapter Optimization of Uniform Non-Markov Queueing Networks Using Resources and Transition Probabilities Redistribution
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Vishnevsky, V., Dudin, A., Kozyrev, D., Larionov, A.: Methods of performance evaluation of broadband wireless networks along the long transport routes. In: Vishnevsky, V., Kozyrev, D. (eds.) DCCN 2015. CCIS, vol. 601, pp. 72–85. Springer, Heidelberg (2016). doi:10.​1007/​978-3-319-30843-2_​8 CrossRef
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Metadata
Title
An Open Queueing Network with a Correlated Input Arrival Process for Broadband Wireless Network Performance Evaluation
Authors
Vladimir Vishnevski
Andrey Larionov
Roman Ivanov
Copyright Year
2016
Book
Information Technologies and Mathematical Modelling - Queueing Theory and Applications

Print ISBN: 978-3-319-44614-1

Electronic ISBN: 978-3-319-44615-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-44615-8_31

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