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dc.contributor.authorRuiz Ramírez, Marc
dc.contributor.authorColtraro Ianniello, Franco
dc.contributor.authorVelasco Esteban, Luis Domingo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2018-11-09T20:13:49Z
dc.date.available2018-11-09T20:13:49Z
dc.date.issued2018-09-01
dc.identifier.citationRuiz, M., Coltraro, F., Velasco, L. CURSA-SQ: a methodology for service-centric traffic flow analysis. "Journal of optical communications and networking", 1 Setembre 2018, vol. 10, núm. 9, p. 773-784.
dc.identifier.issn1943-0620
dc.identifier.urihttp://hdl.handle.net/2117/123880
dc.description© 2018 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 rapid availability of new services means that network operators cannot exhaustively test their impact on the network or anticipate any capacity exhaustion. This situation will be worse with the imminent introduction of 5G technology and the kind of totally new services that it will support. In addition, the increasing complexity of the network makes analyzing its behavior challenging against the specific traffic that needs to be supported; this prevents from training human operators and, much less, machine learning algorithms that might automatize network operation. In this paper, we present CURSA-SQ, a methodology to analyze network behavior when specific traffic that would be generated by groups of service consumers is injected. CURSA-SQ includes input traffic flow modeling with second and sub-second granularity based on specific service and consumer behavior, as well as a continuous G/G/1/k queue model based on the logistic function. The methodology allows for accurately studying the traffic flows at the input and outputs of complex scenarios with multiples queue systems, as well as other metrics such as delays, while showing noticeable scalability. Application use cases include packet and optical network planning, service introduction assessment, and autonomic networking, just to mention a few.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subject.lcshOptical communications
dc.subject.lcshMobile communication systems
dc.subject.otherAggregated traffic models
dc.subject.otherLogistic queue model
dc.subject.otherService-based traffic generation
dc.titleCURSA-SQ: a methodology for service-centric traffic flow analysis
dc.typeArticle
dc.subject.lemacComunicacions òptiques
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.identifier.doi10.1364/JOCN.10.000773
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8472867
dc.rights.accessOpen Access
drac.iddocument23501890
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020-761727-METRO-HAUL
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/TEC2017-90097-R
upcommons.citation.authorRuiz, M., Coltraro, F., Velasco, L.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of optical communications and networking
upcommons.citation.volume10
upcommons.citation.number9
upcommons.citation.startingPage773
upcommons.citation.endingPage784


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