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dc.contributor.authorPérez Vela, Alba
dc.contributor.authorRuiz Ramírez, Marc
dc.contributor.authorVelasco Esteban, Luis Domingo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.identifier.citationPérez-Vela, A.; Ruiz, M.; Velasco, L. Visualization tools for enhancing failure localization [Invited]. A: International Conference on Transparent Optical Networks. "ICTON 2019, 21st International Conference on Transparent Optical Networks: 9-13 July 2019, Angers France". 2019, p. 1-4. ISBN 978-1-7281-2779-8. DOI 10.1109/ICTON.2019.8840175.
dc.description© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractThe use of data visualization techniques is explored to guide human operators in failure localization tasks. In this paper, we consider the case where a subset of lightpaths’ experience gradual BER degradation. We aim at using visualization techniques to find out the most likely resource that is responsible for such degradation, as well as the start of the degradation. Note that the challenge is to analyze an amount of data that might be huge (e.g., 1 sample every 15 min for the last, let us say, 4 weeks, for every lightpath in the network) and display charts in seconds, while revealing meaningful information for human operators. The proposed task-oriented visualization tackles such challenge by using charts that first help finding the subset of affected lightpaths thus, reducing the number of lightpaths to be analyzed. In a second step, different charts are used to reduce the element in failure as much as possible. Finally, the few suspicious elements can be analyzed in detail using more traditional timeline graphs.
dc.description.sponsorshipThe research leading to these results has received funding from the Spanish MINECO TWINS project (TEC2017-90097-R), from the EC through the METRO-HAUL project (G.A. no 761727), and from the Catalan Institution for Research and Advanced Studies (ICREA).
dc.format.extent4 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject.lcshInformation visualization
dc.subject.lcshFault location (Engineering)
dc.subject.lcshGraph theory
dc.subject.otherData visualization
dc.subject.otherData analysis
dc.subject.otherFailure localization and optical networks
dc.titleVisualization tools for enhancing failure localization [Invited]
dc.typeConference report
dc.subject.lemacVisualització de la informació
dc.subject.lemacGrafs, Teoria de
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/761727/EU/METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency/METRO-HAUL
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-90097-R/ES/COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION/
local.citation.authorPérez-Vela, A.; Ruiz, M.; Velasco, L.
local.citation.contributorInternational Conference on Transparent Optical Networks
local.citation.publicationNameICTON 2019, 21st International Conference on Transparent Optical Networks: 9-13 July 2019, Angers France

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