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Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks
Increasing demand in the backbone Dense Wavelength Division (DWDM) Multiplexing network traffic prompts an introduction of new solutions that allow increasing the transmission speed without significant increase of the service cost. In order to achieve this objective simpler and faster, DWDM network...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822106/ https://www.ncbi.nlm.nih.gov/pubmed/33375082 http://dx.doi.org/10.3390/e23010007 |
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author | Kozdrowski, Stanisław Cichosz, Paweł Paziewski, Piotr Sujecki, Sławomir |
author_facet | Kozdrowski, Stanisław Cichosz, Paweł Paziewski, Piotr Sujecki, Sławomir |
author_sort | Kozdrowski, Stanisław |
collection | PubMed |
description | Increasing demand in the backbone Dense Wavelength Division (DWDM) Multiplexing network traffic prompts an introduction of new solutions that allow increasing the transmission speed without significant increase of the service cost. In order to achieve this objective simpler and faster, DWDM network reconfiguration procedures are needed. A key problem that is intrinsically related to network reconfiguration is that of the quality of transmission assessment. Thus, in this contribution a Machine Learning (ML) based method for an assessment of the quality of transmission is proposed. The proposed ML methods use a database, which was created only on the basis of information that is available to a DWDM network operator via the DWDM network control plane. Several types of ML classifiers are proposed and their performance is tested and compared for two real DWDM network topologies. The results obtained are promising and motivate further research. |
format | Online Article Text |
id | pubmed-7822106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78221062021-02-24 Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks Kozdrowski, Stanisław Cichosz, Paweł Paziewski, Piotr Sujecki, Sławomir Entropy (Basel) Article Increasing demand in the backbone Dense Wavelength Division (DWDM) Multiplexing network traffic prompts an introduction of new solutions that allow increasing the transmission speed without significant increase of the service cost. In order to achieve this objective simpler and faster, DWDM network reconfiguration procedures are needed. A key problem that is intrinsically related to network reconfiguration is that of the quality of transmission assessment. Thus, in this contribution a Machine Learning (ML) based method for an assessment of the quality of transmission is proposed. The proposed ML methods use a database, which was created only on the basis of information that is available to a DWDM network operator via the DWDM network control plane. Several types of ML classifiers are proposed and their performance is tested and compared for two real DWDM network topologies. The results obtained are promising and motivate further research. MDPI 2020-12-22 /pmc/articles/PMC7822106/ /pubmed/33375082 http://dx.doi.org/10.3390/e23010007 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kozdrowski, Stanisław Cichosz, Paweł Paziewski, Piotr Sujecki, Sławomir Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks |
title | Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks |
title_full | Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks |
title_fullStr | Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks |
title_full_unstemmed | Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks |
title_short | Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks |
title_sort | machine learning algorithms for prediction of the quality of transmission in optical networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822106/ https://www.ncbi.nlm.nih.gov/pubmed/33375082 http://dx.doi.org/10.3390/e23010007 |
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