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Quality of service evaluation based on network slicing for software-defined 5G systems

Evaluación de la calidad de servicio basada en segmentación de red para sistemas 5G definidos por software

dc.creatorIbarra-Lancheros, Kevin Sneider
dc.creatorPuerto-Leguizamón, Gustavo
dc.creatorSuárez-Fajardo, Carlos
dc.date2018-09-14
dc.date.accessioned2021-03-18T21:12:20Z
dc.date.available2021-03-18T21:12:20Z
dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1066
dc.identifier10.22430/22565337.1066
dc.identifier.urihttp://test.repositoriodigital.com:8080/handle/123456789/11754
dc.descriptionThis paper presents the evaluation of the quality of service parameters provided by the network slicing approach for 5G networks based on a software-defined networking environment. The open source controller Floodlight made bandwidth allocation decisions by assigning network slices to user profiles on particular topologies. The objective is to control the bandwidth resources that allow to guarantee latency and reliability values according to the type of service in a sliced 5G network. Thus, it was possible to demonstrate the versatility and scalability of the Floodlight controller, which reduced the loss rate by 10% in a congested network and ensured delays of less than 700ms in applications such as VoIP and video streaming sharing a channel with a limited bit rate of 5 Mbps.en-US
dc.descriptionEste artículo presenta la evaluación de los parámetros de calidad del servicio proporcionadas por la segmentación de recursos para redes 5G basadas en un entorno de red definido por software. El controlador Floodlight realizó decisiones de asignación de ancho de banda definiendo segmentos de red a perfiles de usuario en topologías particulares. El objetivo es controlar los recursos de ancho de banda que permiten garantizar valores de latencia y confiabilidad de acuerdo con el tipo de servicio en una red 5G. De esta forma, fue posible demostrar la versatilidad y escalabilidad del controlador Floodlight, que redujo la tasa de pérdida en un 10% en una red congestionada y permitió retrasos de menos de 700ms en aplicaciones como VoIP y transmisión de video compartiendo un canal con una velocidad de bits limitada de 5 Mbps.es-ES
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dc.languageeng
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano (ITM)en-US
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1066/1062
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1066/1077
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1066/1214
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/1066/1230
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dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/en-US
dc.sourceTecnoLógicas; Vol. 21 No. 43 (2018); 27-41en-US
dc.sourceTecnoLógicas; Vol. 21 Núm. 43 (2018); 27-41es-ES
dc.source2256-5337
dc.source0123-7799
dc.subject5G-fifth generation mobileen-US
dc.subjectNetwork Slicingen-US
dc.subjectSoftware-Defined Networkingen-US
dc.subjectFloodlighten-US
dc.subjectquality of serviceen-US
dc.subject5G- quinta generación móviles-ES
dc.subjectsegmentación de redes-ES
dc.subjectredes definidas por softwarees-ES
dc.subjectcalidad de servicioes-ES
dc.titleQuality of service evaluation based on network slicing for software-defined 5G systemsen-US
dc.titleEvaluación de la calidad de servicio basada en segmentación de red para sistemas 5G definidos por softwarees-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArticlesen-US
dc.typeArtículoses-ES


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