Title
5Growth Data-Driven AI-Based Scaling
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.
Year
DOI
Venue
2021
10.1109/EuCNC/6GSummit51104.2021.9482476
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
Keywords
DocType
ISSN
C-V2N,eMBB,5Growth AI/ML platform,5Growth data-driven AI-based scaling,service requirements,automated service scaling operation,closed-loop automation system,5Growth service management software platform,storage resources
Conference
2475-6490
ISBN
Citations 
PageRank 
978-1-6654-3021-0
0
0.34
References 
Authors
0
14