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CURSA-SQ: a methodology for service-centric traffic flow analysis
dc.contributor.author | Ruiz Ramírez, Marc |
dc.contributor.author | Coltraro, Franco |
dc.contributor.author | Velasco Esteban, Luis Domingo |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.date.accessioned | 2018-11-09T20:13:49Z |
dc.date.available | 2018-11-09T20:13:49Z |
dc.date.issued | 2018-09-01 |
dc.identifier.citation | Ruiz, 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.issn | 1943-0620 |
dc.identifier.uri | http://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.abstract | The 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.extent | 12 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils |
dc.subject.lcsh | Optical communications |
dc.subject.lcsh | Mobile communication systems |
dc.subject.other | Aggregated traffic models |
dc.subject.other | Logistic queue model |
dc.subject.other | Service-based traffic generation |
dc.title | CURSA-SQ: a methodology for service-centric traffic flow analysis |
dc.type | Article |
dc.subject.lemac | Comunicacions òptiques |
dc.subject.lemac | Comunicacions mòbils, Sistemes de |
dc.contributor.group | Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques |
dc.identifier.doi | 10.1364/JOCN.10.000773 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8472867 |
dc.rights.access | Open Access |
local.identifier.drac | 23501890 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info: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.projectid | info: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.author | Ruiz, M.; Coltraro, F.; Velasco, L. |
local.citation.publicationName | Journal of optical communications and networking |
local.citation.volume | 10 |
local.citation.number | 9 |
local.citation.startingPage | 773 |
local.citation.endingPage | 784 |
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