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5Growth data-driven AI-based scaling

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorDe Vleeschauwer, Danny
dc.contributor.authorBaranda, Jorge
dc.contributor.authorMangues-Bafalluy, Josep
dc.contributor.authorChiasserini, Carla Fabiana
dc.contributor.authorMalinverno, Marco
dc.contributor.authorPuligheddu, Corrado
dc.contributor.authorMagoula, Lina
dc.contributor.authorMartín Pérez, Jorge
dc.contributor.authorBarmpounakis, Sokratis
dc.contributor.authorKondepu, Koteswararao
dc.contributor.authorValcarenzhi, Luca
dc.contributor.authorLi, Xi
dc.contributor.authorPapagianni, Chrysa
dc.contributor.authorGarcía Saavedra, Andrés
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2022-02-15T09:06:25Z
dc.date.available2022-02-15T09:06:25Z
dc.date.issued2021-06-08
dc.descriptionProceedings of: Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 8-11 June 2021, Porto, Portugal.en
dc.description.abstractThis paper presents a data-driven approach leveraging AI/ML models to automate the service scaling operation and, in this way, meet the service requirements while minimizing the consumption of network, computing, and storage resources. This approach is integrated into the 5Growth service management software platform. In particular, a prototype was developed to demonstrate how the novel 5Growth AI/ML platform can be used in a closed-loop automation system to support the automated service scaling operation. Furthermore, a number of additional ML-based approaches are developed in the context of eMBB and C-V2N scenarios, which can be embedded into the system for handling more complex use cases.en
dc.description.sponsorshipThis work has been partially supported by EC H2020 5GPPP 5Growth project (Grant 856709).en
dc.format.extent6
dc.identifier.bibliographicCitationde Vleeschauwer, D., Baranda, J., Mangues-Bafalluy, J., Chiasserini, C. F., Malinverno, M., Puligheddu, C., Magoula, L., Martín-Pérez, J., Barmpounakis, S., Kondepu, K., Valcarenzhi, L., Li, X., Papagianni, C. & Garcia-Saavedra, A. (8-11 June 2021). 5Growth data-driven AI-based scaling [proceedings]. 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Porto, Portugal.en
dc.identifier.doihttps://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482476
dc.identifier.isbn978-1-6654-1526-2 (Electronic)
dc.identifier.isbn978-1-6654-3021-0 (Print on Demand(PoD))
dc.identifier.publicationfirstpage383
dc.identifier.publicationlastpage388
dc.identifier.publicationtitle2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)en
dc.identifier.urihttps://hdl.handle.net/10016/34124
dc.identifier.uxxiCC/0000032780
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate2021-06-08
dc.relation.eventplacePorto, Portugalen
dc.relation.eventtitle2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/856709
dc.rights© 2021 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.other6G mobile communicationen
dc.subject.otherComputational Modelingen
dc.subject.otherPrototypesen
dc.subject.otherSoftwareen
dc.title5Growth data-driven AI-based scalingen
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
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