Distributed abstraction and verification of an installed optical fibre network

Abstract 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...

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Autores principales:	D. J. Ives, S. Yan, L. Galdino, R. Wang, D. J. Elson, Y. Wakayama, F. J. Vaquero-Caballero, G. Saavedra, D. Lavery, R. Nejabati, P. Bayvel, D. Simeonidou, S. J. Savory
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/134f580667f2455f9256937afe0a3462
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spelling	oai:doaj.org-article:134f580667f2455f9256937afe0a34622021-12-02T14:49:11ZDistributed abstraction and verification of an installed optical fibre network10.1038/s41598-021-89976-w2045-2322https://doaj.org/article/134f580667f2455f9256937afe0a34622021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89976-whttps://doaj.org/toc/2045-2322Abstract 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.D. J. IvesS. YanL. GaldinoR. WangD. J. ElsonY. WakayamaF. J. Vaquero-CaballeroG. SaavedraD. LaveryR. NejabatiP. BayvelD. SimeonidouS. J. SavoryNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q D. J. Ives S. Yan L. Galdino R. Wang D. J. Elson Y. Wakayama F. J. Vaquero-Caballero G. Saavedra D. Lavery R. Nejabati P. Bayvel D. Simeonidou S. J. Savory Distributed abstraction and verification of an installed optical fibre network
description	Abstract 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	article
author	D. J. Ives S. Yan L. Galdino R. Wang D. J. Elson Y. Wakayama F. J. Vaquero-Caballero G. Saavedra D. Lavery R. Nejabati P. Bayvel D. Simeonidou S. J. Savory
author_facet	D. J. Ives S. Yan L. Galdino R. Wang D. J. Elson Y. Wakayama F. J. Vaquero-Caballero G. Saavedra D. Lavery R. Nejabati P. Bayvel D. Simeonidou S. J. Savory
author_sort	D. J. Ives
title	Distributed abstraction and verification of an installed optical fibre network
title_short	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_sort	distributed abstraction and verification of an installed optical fibre network
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/134f580667f2455f9256937afe0a3462
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Distributed abstraction and verification of an installed optical fibre network

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