5Growth data-driven AI-based scaling
| Autor: | Sokratis Barmpounakis, Jorge Martin-Perez, Lina Magoula, Josep Mangues-Bafalluy, Xi Li, Danny De Vleeschauwer, Andres Garcia-Saavedra, Jorge Baranda, Carla-Fabiana Chiasserini, Marco Malinverno, Koteswararao Kondepu, Corrado Puligheddu, Luca Valcarenzhi, Chrysa Papagianni |
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| Přispěvatelé: | Multiscale Networked Systems (IvI, FNWI), European Commission |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Telecomunicaciones
Service (systems architecture) 6G mobile communication Computational Modeling Computer science business.industry Distributed computing Service management AI/ML platform Context (language use) Process automation system service scaling Data-driven NO KEYWORDS Software Prototypes AIMLaaS resource scaling Use case 5G 6G service scaling AI/ML platform AIMLaaS resource scaling business 5G 6G |
| Zdroj: | 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit): Porto, Portugal, 8-11 June 2021, 383-388 STARTPAGE=383;ENDPAGE=388;TITLE=2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) EuCNC/6G Summit e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname |
| Popis: | Proceedings 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. This work has been partially supported by EC H2020 5GPPP 5Growth project (Grant 856709). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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