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dc.contributor.authorHernández Chulde, Carlos Efrén
dc.contributor.authorCervelló Pastor, Cristina
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2020-04-27T08:52:24Z
dc.date.available2020-04-27T08:52:24Z
dc.date.issued2019
dc.identifier.citationHernández, C.; Cervelló-Pastor, C. Lightweight testbed for machine learning evaluation in 5G networks. A: Jornadas de Ingeniería Telemática. "JITEL 2019 - XIV Jornadas de Ingeniería Telemática, Zaragoza, Spain: 22-24 octubre de 2019: proceedings book". 2019, p. 1-6.
dc.identifier.otherhttps://easychair.org/proceedings/paper_download.cgi?kind=pdf;a=23402492;paper=503509
dc.identifier.urihttp://hdl.handle.net/2117/185190
dc.description.abstractThe adoption of Software Define Networking, Network Function Virtualization and Machine Learning will play a key role in the control and management of fifth-generation (5G) networks in order to meet the specific requirements of vertical industries and the stringent requirements of 5G. Machine learning could be applied in 5G networks to deal with issues such as traffic prediction, routing optimization and resource management. To evaluate the adoption of machine learning in 5G networks, an adequate testing environment is required. In this paper, we introduce a lightweight testbed, which utilizes the benefits of container lightweight virtualization technology to create machine learning network functions over the well-known Mininet network emulator. As a use case of this testbed, we present an experimental real-time bandwidth prediction using the Long Short Term Memory recurrent neural network.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshMachine learning
dc.subject.other5G
dc.subject.otherSDN
dc.subject.otherNFV
dc.subject.otherMachine learning
dc.subject.otherContainers
dc.titleLightweight testbed for machine learning evaluation in 5G networks
dc.typeConference report
dc.subject.lemacAprenentatge automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. BAMPLA - Disseny i Avaluació de Xarxes i Serveis de Banda Ampla
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac27146033
dc.description.versionPostprint (published version)
local.citation.authorHernández, C.; Cervelló-Pastor, C.
local.citation.contributorJornadas de Ingeniería Telemática
local.citation.publicationNameJITEL 2019 - XIV Jornadas de Ingeniería Telemática, Zaragoza, Spain: 22-24 octubre de 2019: proceedings book
local.citation.startingPage1
local.citation.endingPage6


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