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2021 | OriginalPaper | Chapter

Modeling Traffic Forecasts with Probability in DWDM Optical Networks

Authors : Stanisław Kozdrowski, Piotr Sliwka, Sławomir Sujecki

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

Dense wavelength division multiplexed networks enable operators to use more efficiently the bandwidth offered by a single fiber pair and thus make significant savings, both in operational and capital expenditures. In this study traffic demands pattern forecasts (with probability) in subsequent years are calculated using statistical methods. Subject to results of statistical analysis numerical methods are used to calculate traffic intensity in edges of a dense wavelength division multiplexed network both in terms of the number of channels allocated and the total throughput expressed in gigabits per second. For the calculation of traffic intensity a model based on mixed integer programming is proposed, which includes a detailed description of optical network resources. The study is performed for a practically relevant network within selected scenarios determined by realistic traffic demand sets.

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Title: Modeling Traffic Forecasts with Probability in DWDM Optical Networks
Authors: Stanisław Kozdrowski
Piotr Sliwka
Sławomir Sujecki
Publisher: Springer International Publishing
Book: Computational Science – ICCS 2021
Print ISBN: 978-3-030-77969-6

Electronic ISBN: 978-3-030-77970-2

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-77970-2_28

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