De Vleeschauwer, DannyBaranda, JorgeMangues-Bafalluy, JosepChiasserini, Carla FabianaMalinverno, MarcoPuligheddu, CorradoMagoula, LinaMartín Pérez, JorgeBarmpounakis, SokratisKondepu, KoteswararaoValcarenzhi, LucaLi, XiPapagianni, ChrysaGarcía Saavedra, Andrés2022-02-152022-02-152021-06-08de 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.978-1-6654-1526-2 (Electronic)978-1-6654-3021-0 (Print on Demand(PoD))https://hdl.handle.net/10016/34124Proceedings of: Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 8-11 June 2021, Porto, Portugal.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.6eng© 2021 IEEE.6G mobile communicationComputational ModelingPrototypesSoftwareconference proceedingsTelecomunicacioneshttps://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482476open access3833882021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)CC/0000032780