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Congestion control proposal in SDN with random early detection

dc.creatorLezcano Airaldi, Luis
dc.creatorGramajo, Sergio
dc.creatorScappini, Reinaldo
dc.creatorBolatti, Diego
dc.date.accessioned2024-03-23T13:43:50Z
dc.date.available2024-03-23T13:43:50Z
dc.date.issued2021-08-13
dc.identifier.citationL. L. Airaldi, R. J. R. Scappini, S. Gramajo and D. Bolatti, "Congestion Control Proposal in SDN With Random Early Detection," 2020 IEEE Congreso Bienal de Argentina (ARGENCON), Resistencia, Argentina, 2020, pp. 1-5, doi: 10.1109/ARGENCON49523.2020.9505361.es_ES
dc.identifier.isbn978-1-7281-5957-7
dc.identifier.urihttp://hdl.handle.net/20.500.12272/10019
dc.description.abstractThe emerging technology of SDN (Software Defined Networks) separates the data control plane from the forwarding plane while maintaining a centralized control of the network management. The SDN features require new traffic engineering techniques that exploit the global (centralized) network view, and the status and features of traffic flows. Our purpose is to perform traffic engineering in an SDN architecture, using the OpenFlow protocol capabilities and the potential of the SDN controller to collect operational data of the entire network, such as topology, latency, buffer utilization and frame sizes of the controlled devices in order to implement QoS. Considering that the performance of the network is an essential component of Quality of Service (QoS), and congestion is the main factor that affects it, this paper explores a method to search for alternative paths based on data from switches using the Random Early Detection (RED) congestion control mechanism.es_ES
dc.description.sponsorshipUniversidad Tecnológica Nacional - SCyTes_ES
dc.description.sponsorshipUniversidad Tecnologica Nacional - Facultad Regional Resistenciaes_ES
dc.formatpdfes_ES
dc.language.isoenges_ES
dc.language.isoenges_ES
dc.rightsembargoedAccesses_ES
dc.subjectSDNes_ES
dc.subjectQoSes_ES
dc.subjectCongestion Controles_ES
dc.subjectREDes_ES
dc.titleCongestion control proposal in SDN with random early detectiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder-es_ES
dc.description.affiliationLezcano Airaldi, Luis. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Centro de Investigación Aplicada en Tecnologías de la Información y Comunicación; Argentina.es_ES
dc.description.affiliationGramajo,Sergio. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Centro de Investigación Aplicada en Tecnologías de la Información y Comunicación; Argentina.es_ES
dc.description.affiliationScappini, Reinaldo. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Centro de Investigación Aplicada en Tecnologías de la Información y Comunicación; Argentina.es_ES
dc.description.affiliationBolatti, Diego. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Centro de Investigación Aplicada en Tecnologías de la Información y Comunicación; Argentina.es_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.relation.projectidCCUTIRE0005353TCes_ES
dc.type.versionpublisherVersiones_ES
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dc.rights.use-es_ES
dc.identifier.doi10.1109/ARGENCON49523.2020.9505361
dc.relation.isreferencedbyDong Yang, Wei-Tek Tsai, "SDN-Based Congestion Control and Bandwidth Allocation Scheme in 5G Networks", Sensors, vol.24, no.3, pp.749, 2024.es_ES
dc.creator.orcid-es_ES
dc.creator.orcid-es_ES
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