5Growth data-driven AI-based scaling

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dc.contributor.author De Vleeschauwer, Danny
dc.contributor.author Baranda, Jorge
dc.contributor.author Mangues-Bafalluy, Josep
dc.contributor.author Chiasserini, Carla Fabiana
dc.contributor.author Malinverno, Marco
dc.contributor.author Puligheddu, Corrado
dc.contributor.author Magoula, Lina
dc.contributor.author Martín Pérez, Jorge
dc.contributor.author Barmpounakis, Sokratis
dc.contributor.author Kondepu, Koteswararao
dc.contributor.author Valcarenzhi, Luca
dc.contributor.author Li, Xi
dc.contributor.author Papagianni, Chrysa
dc.contributor.author García Saavedra, Andrés
dc.date.accessioned 2022-02-15T09:06:25Z
dc.date.available 2022-02-15T09:06:25Z
dc.date.issued 2021-06-08
dc.identifier.bibliographicCitation de 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.
dc.identifier.isbn 978-1-6654-1526-2 (Electronic)
dc.identifier.isbn 978-1-6654-3021-0 (Print on Demand(PoD))
dc.identifier.uri http://hdl.handle.net/10016/34124
dc.description Proceedings of: Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 8-11 June 2021, Porto, Portugal.
dc.description.abstract This 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.
dc.description.sponsorship This work has been partially supported by EC H2020 5GPPP 5Growth project (Grant 856709).
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2021 IEEE.
dc.subject.other 6G mobile communication
dc.subject.other Computational Modeling
dc.subject.other Prototypes
dc.subject.other Software
dc.title 5Growth data-driven AI-based scaling
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482476
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/856709
dc.type.version acceptedVersion
dc.relation.eventdate 2021-06-08
dc.relation.eventplace Porto, Portugal
dc.relation.eventtitle 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 383
dc.identifier.publicationlastpage 388
dc.identifier.publicationtitle 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
dc.identifier.uxxi CC/0000032780
dc.contributor.funder European Commission
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