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dc.contributor.authorAngelou, Marianna
dc.contributor.authorAgraz Bujan, Fernando
dc.contributor.authorKokkinos, Panagiotis
dc.contributor.authorPerelló Muntan, Jordi
dc.contributor.authorAzodolmolky, Siamak
dc.contributor.authorVarvarigos, Emmanouel
dc.contributor.authorSpadaro, Salvatore
dc.contributor.authorTomkos, Ioannis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-09-10T09:38:15Z
dc.date.available2014-09-10T09:38:15Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationAngelou, M. [et al.]. Experimental comparison of impairment-aware RWA algorithms in a GMPLS-controlled dynamic optical network. A: Future Network and MobileSummit. "Future Network & MobileSummit 2011 Conference Proceedings". Warsaw: 2011, p. 1-5.
dc.identifier.isbn978-1-905824-23-6
dc.identifier.urihttp://hdl.handle.net/2117/24029
dc.description.abstractThe European research project DICONET proposed and implemented a multi-plane impairment-aware solution for flexible, robust and cost-effective core optical networks. The vision of DICONET was realized via a set of cross-layer optimization algorithms designed to serve the network during planning and operation. The cross-layer modules were incorporated in a common software platform forming a planning and operation tool that takes into account physical-layer impairments in the decision making. The overall solution relies on a GMPLS-based control plane that was extended to disseminate the physical layer information required by the cross-layer modules. One of the key activities in DICONET concerns the routing and wavelength assignment of traffic demands that arrive dynamically during the network operation. Identifying the important role of dynamic lightpath provisioning, in this work we focused on the performance of routing algorithms in dynamic optical networks. We tested the suitability and performance of two different online IA-RWA algorithms in a 14-node experimental test-bed that employed centralized control-plane architecture under the same network and traffic conditions. The parameters used to evaluate the two routing engines included the lightpath setup time and the blocking ratio in a traffic scenario where connections arrive and depart from the network dynamically. Results for different traffic loads showed that optimum impairment-aware decisions are made at the expense of higher lightpath setup times.
dc.format.extent5 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject.lcshTelecommunication -- Traffic -- Management
dc.subject.lcshOptical communications
dc.subject.otherNetworks
dc.titleExperimental comparison of impairment-aware RWA algorithms in a GMPLS-controlled dynamic optical network
dc.typeConference report
dc.subject.lemacTelecomunicació -- Tràfic -- Gestió
dc.subject.lemacComunicacions òptiques
dc.contributor.groupUniversitat Politècnica de Catalunya. CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095250&tag=1
dc.rights.accessOpen Access
drac.iddocument9584297
dc.description.versionPostprint (published version)
upcommons.citation.authorAngelou, M.; Agraz, F.; Kokkinos, P.; Perello, J.; Azodolmolky, S.; Varvarigos, E.; Spadaro, S.; Tomkos, I.
upcommons.citation.contributorFuture Network and MobileSummit
upcommons.citation.pubplaceWarsaw
upcommons.citation.publishedtrue
upcommons.citation.publicationNameFuture Network & MobileSummit 2011 Conference Proceedings
upcommons.citation.startingPage1
upcommons.citation.endingPage5


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain