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Distributed abstraction and verification of an installed optical fibre network
The management of wavelength routed optical mesh networks is complex with many potential light path routes and numerous physical layer impairments to transmission performance. This complexity can be reduced by applying the ideas of abstraction from computer science where different equipment is descr...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144218/ https://www.ncbi.nlm.nih.gov/pubmed/34031431 http://dx.doi.org/10.1038/s41598-021-89976-w |
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author | Ives, D. J. Yan, S. Galdino, L. Wang, R. Elson, D. J. Wakayama, Y. Vaquero-Caballero, F. J. Saavedra, G. Lavery, D. Nejabati, R. Bayvel, P. Simeonidou, D. Savory, S. J. |
author_facet | Ives, D. J. Yan, S. Galdino, L. Wang, R. Elson, D. J. Wakayama, Y. Vaquero-Caballero, F. J. Saavedra, G. Lavery, D. Nejabati, R. Bayvel, P. Simeonidou, D. Savory, S. J. |
author_sort | Ives, D. J. |
collection | PubMed |
description | The management of wavelength routed optical mesh networks is complex with many potential light path routes and numerous physical layer impairments to transmission performance. This complexity can be reduced by applying the ideas of abstraction from computer science where different equipment is described in the same basic terms. The noise-to-signal ratio can be used as a metric to describe the quality of transmission performance of a signal propagated through a network element and accumulates additively through a sequence of such elements allowing the estimation of end-to-end performance. This study aims to explore the robustness of the noise-to-signal ratio metric in an installed fibre infrastructure. We show that the abstracted noise-to-signal ratio is independent of the observers and their location. We confirm that the abstracted noise-to-signal ratio can reasonably predict the performance of light-paths subsequently set in our network. Having a robust network element abstraction that can be incorporated into routeing engines allows the network management controller to make decisions on the most effective way to use the network resources in terms of the routeing and data coding format. |
format | Online Article Text |
id | pubmed-8144218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81442182021-05-25 Distributed abstraction and verification of an installed optical fibre network Ives, D. J. Yan, S. Galdino, L. Wang, R. Elson, D. J. Wakayama, Y. Vaquero-Caballero, F. J. Saavedra, G. Lavery, D. Nejabati, R. Bayvel, P. Simeonidou, D. Savory, S. J. Sci Rep Article The management of wavelength routed optical mesh networks is complex with many potential light path routes and numerous physical layer impairments to transmission performance. This complexity can be reduced by applying the ideas of abstraction from computer science where different equipment is described in the same basic terms. The noise-to-signal ratio can be used as a metric to describe the quality of transmission performance of a signal propagated through a network element and accumulates additively through a sequence of such elements allowing the estimation of end-to-end performance. This study aims to explore the robustness of the noise-to-signal ratio metric in an installed fibre infrastructure. We show that the abstracted noise-to-signal ratio is independent of the observers and their location. We confirm that the abstracted noise-to-signal ratio can reasonably predict the performance of light-paths subsequently set in our network. Having a robust network element abstraction that can be incorporated into routeing engines allows the network management controller to make decisions on the most effective way to use the network resources in terms of the routeing and data coding format. Nature Publishing Group UK 2021-05-24 /pmc/articles/PMC8144218/ /pubmed/34031431 http://dx.doi.org/10.1038/s41598-021-89976-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ives, D. J. Yan, S. Galdino, L. Wang, R. Elson, D. J. Wakayama, Y. Vaquero-Caballero, F. J. Saavedra, G. Lavery, D. Nejabati, R. Bayvel, P. Simeonidou, D. Savory, S. J. Distributed abstraction and verification of an installed optical fibre network |
title | Distributed abstraction and verification of an installed optical fibre network |
title_full | Distributed abstraction and verification of an installed optical fibre network |
title_fullStr | Distributed abstraction and verification of an installed optical fibre network |
title_full_unstemmed | Distributed abstraction and verification of an installed optical fibre network |
title_short | Distributed abstraction and verification of an installed optical fibre network |
title_sort | distributed abstraction and verification of an installed optical fibre network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144218/ https://www.ncbi.nlm.nih.gov/pubmed/34031431 http://dx.doi.org/10.1038/s41598-021-89976-w |
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