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.
5Growth Data-Driven AI-Based Scaling / De Vleeschauwer, Danny; Baranda, Jorge; Mangues-Bafalluy, Josep; Chiasserini, Carla Fabiana; Malinverno, Marco; Puligheddu, Corrado; Magoula, Lina; Martin-Perez, Jorge; Barmpounakis, Sokratis; Kondepu, Koteswararao; Valcarenghi, Luca; Li, Xi; Papagianni, Chrysa; Garcia-Saavedra, Andres. - STAMPA. - (2021). (Intervento presentato al convegno 2021 EuCNC & 6G Summit tenutosi a Virtual conference due to COVID-19 nel 8-11 June 2021) [10.1109/EuCNC/6GSummit51104.2021.9482476].
5Growth Data-Driven AI-Based Scaling
Carla Fabiana Chiasserini;Marco Malinverno;Corrado Puligheddu;
2021
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.File | Dimensione | Formato | |
---|---|---|---|
1570705667.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
1.41 MB
Formato
Adobe PDF
|
1.41 MB | Adobe PDF | Visualizza/Apri |
Chiasserini-5Growth.pdf
accesso riservato
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
2.96 MB
Formato
Adobe PDF
|
2.96 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2891315