Sobre las características de las Redes Definidas por Software para la provisión de calidad del servicio en redes de datos

dc.creatorPorras Duque, Jonier Hernando
dc.creatorDucuara Beltrán, Daniel Orlando
dc.creatorPuerto Leguizamón, Gustavo Adolfo
dc.date2019-02-11T22:55:33Z
dc.date2019-02-11T22:55:33Z
dc.date2018-12-17
dc.date.accessioned2023-10-03T19:14:17Z
dc.date.available2023-10-03T19:14:17Z
dc.identifierJ. Porras Duque, D. Ducuara Beltrán and G. Puerto Leguizamón, “On the features of Software Defined Networking for the QoS provision in data networks”, INGE CUC, vol. 14, no. 2, pp.106-115, 2018. DOI: http://doi.org/10.17981/ingecuc.14.2.2018.10
dc.identifierhttp://hdl.handle.net/11323/2389
dc.identifierhttps://doi.org/10.17981/ingecuc.14.2.2018.10
dc.identifier10.17981/ingecuc.14.2.2018.10
dc.identifier2382-4700
dc.identifierCorporación Universidad de la Costa
dc.identifier0122-6517
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9169148
dc.descriptionIntroduction− The traditional networks mostly implement devices where the control plane is distributed and mixed with the data plane; this fact does not allow a fast evolution to-wards a process that contributes to improving the transport of services. Otherwise, Software Defined Networking is a set of transport services that optimize the use of resources as these have a centralized network structure.Objective− To determine the aspects that enable the soft-ware-defined networking to provide quality of service features in data networks.Methodology−This study is performed through network simulation over the same base network and under the same working conditions by carrying out measurements of the pack-et forwarding response time and management of the trans-ported bandwidth. This study includes the demonstration of the multimedia content transport over a network architecture defining priorities to the links.Results−The outcomes show how the Software Defined Networking achieves better management of data transmis-sion through the base network. In the same way, the previous outcomes are reinforced with those obtained in the quality of service test performed on the streaming of a multimedia flow.Conclusions−Due to the centralized control of Software Defined Networking, forwarding functions with the quality of service features are enabled in data networks based on layer-2 devices.
dc.descriptionIntroducción− Las redes tradicionales implementan en su gran mayoría dispositivos donde el control es distribuido y mezclado con el plano de datos, aspecto que no permite una evolución rápida hacia un proceso que contribuya a mejorar el transporte de los servicios. Por el contrario, las Redes Definidas por Software son un conjunto de servicios de transporte que op-timizan la utilización de los recursos al poseer una estructura de red centralizada.Objetivo− Determinar los aspectos que hacen que las redes definidas por software puedan ofrecer características de calidad de servicio en redes de datos.Metodología−Este estudio se realiza mediante simulación, sobre una misma red base y bajo las mismas condiciones de trabajo, llevando a cabo medidas del tiempo de respuesta del envío de paquetes y gestión del ancho de banda transportado. El estudio también incluye una prueba mediante la transmisión de contenido multimedia a través de una arquitectura de red definiendo prioridades a los enlaces.Resultados−Los resultados muestran la forma en que las Redes Definidas por Software logran una mejor gestión del envío de datos a través de la red base. Del mismo modo, los resultados previos fueron respaldados con los obtenidos en la prueba de calidad de servicio para un flujo multimedia. Conclusiones−Las redes definidas por software debido a su control centralizado habilitan el encaminamiento y provisión de calidad del servicio en redes de datos basadas en dispositivos de capa-2.
dc.format10 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
dc.relationINGE CUC; Vol. 14, Núm. 2 (2018)
dc.relationINGE CUC
dc.relationINGE CUC
dc.relationN. Feamster, J. Rexford and E. Zegura, "The Road to SDN: An Intellectual History of Programmable Networks." ACM Sigcomm Computer Communication, vol. 44, no. 2, pp. 87–98. 2014. http://doi.org/10.1145/2602204.2602219
dc.relationA. Basit, S. Qaisar, S. H. Rasool, and M. Ali, “SDN Orchestration for Next Generation Inter-Networking: A Multipath Forwarding Approach,” IEEE Access, vol. 5, pp. 13077–13089, 2017. http://doi.org/10.1109/ACCESS.2017.2683943
dc.relationH . Kim and N. Feamster, “Improving network management with software defined networking,” IEEE Commun.Mag., vol. 51, no. 2, pp. 114–119, 2013. http://doi.org/10.1109/MCOM.2013.6461195
dc.relationN. McKeown, T. Anderson, H. Balakrishnan, G. Parulkar, L. Peterson, J. Rexford, S. Shenker, and J. Turner, “OpenFlow: Enabling Innovation in Campus Networks” ACM SIGCOMM Comput. Commun. Rev., vol. 38, no. 2, p. 69, 2008. http://doi.org/10.1145/1355734.1355746
dc.relationF. Laassiri, M. Moughit and N. Idboufker, “Evaluation of the QoS parameters in different SDN architecture using Omnet 4.6++,” 2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Monastir, Tunisia, 2017, pp. 690-695. http://doi.org/10.1109/STA.2017.8314976
dc.relationM. A. Barry, J. K. Tamgno, C. Lishou and M. B. Cissé, “QoS impact on multimedia traffic load (IPTV, RoIP, VoIP) in best effort mode,” 2018 20th International Conference on Advanced Communication Technology (ICACT), Chuncheon-si Gangwon-do, Korea (South), 2018, pp. 694-700. http://doi.org/10.23919/ICACT.2018.8323886
dc.relationM. Haiyan, Y. Jinyao, P. Georgopoulos and B. Plattner, “Towards SDN based queuing delay estimation,” in China Communications, vol. 13, no. 3, pp. 27-36, March 2016. http://doi.org/10.1109/CC.2016.7445500
dc.relationX. Li, J. Yan, and H. Ren, “Software defined traffic engineering for improving Quality of Service,” China Commun., vol. 14, no. 10, pp. 12–25, Oct. 2017. http://doi.org/10.1109/CC.2017.8107629
dc.relationB. Awerbuch, S. Kutten and D. Peleg, “On buffer-economical store-and-forward deadlock prevention,” IEEE INFCOM ‘91. The conference on Computer Communications. Tenth Annual Joint Comference of the IEEE Computer and Communications Societies Proceedings, Bal Harbour, FL, USA, 1991, pp. 410-414 vol. 1. http://doi.org/10.1109/INFCOM.1991.14753
dc.relationI. Afolabi, T. Taleb, K. Samdanis, A. Ksentini, and H. Flinck, “Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions,” IEEE Commun. Surv. Tutorials, vol. 20, no. 3, pp. 2429–2453, 2018. http://doi.org/10.1109/COMST.2018.2815638
dc.relationY. Yan and H. Wang, “Open vSwitch Vxlan performance acceleration in cloud computing data center,” 2016 5th International Conference on Computer Science and Network Technology (ICCSNT), Changchun, 2016, pp. 567-571. http://doi.org/10.1109/ICCSNT.2016.8070222
dc.relationY. Yan and H. Wang, “Open vSwitch Vxlan performance acceleration in cloud computing data center,” 2016 5th International Conference on Computer Science and Network Technology (ICCSNT), Changchun, 2016, pp. 567-571. http://doi.org/10.1109/ICCSNT.2016.8070222
dc.relationM. Vijayalakshmi, P. Desai and M. M. Raikar, “Packet Tracer Simulation Tool as Pedagogy to Enhance Learning of Computer Network Concepts,” 2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), Madurai, 2016, pp. 71-76. http://doi.org/10.1109/MITE.2016.024
dc.relationM. J. Mišić and S. R. Gajin, “Simulation of Software Defined Networks in Mininet environment,” 2014 22nd Telecommunications Forum Telfor (TELFOR), Belgrade, 2014, pp. 1055-1058. http://doi.org/10.1109/TELFOR.2014.7034588
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dc.relationINGE CUC
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceINGE CUC
dc.sourcehttps://revistascientificas.cuc.edu.co/ingecuc/article/view/1799
dc.subjectSoftware defined networking
dc.subjectSDN
dc.subjectFloodlight
dc.subjectMininet
dc.subjectPacket tracer
dc.subjectQuality of service
dc.subjectBandwidth
dc.subjectQueuing
dc.subjectTransmission rate
dc.subjectResponse time
dc.subjectRedes Definidas por Software
dc.subjectCalidad de servicio
dc.subjectAncho de banda
dc.subjectEncolamiento
dc.subjectTasa de transmisión
dc.subjectTiempo de respuesta
dc.titleOn the features of software defined networking for the qos provision in data networks
dc.titleSobre las características de las Redes Definidas por Software para la provisión de calidad del servicio en redes de datos
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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