RT Conference Proceedings
T1 A hierarchical AI-based control plane solution for multi-technology deterministic networks
A1 Giardina, Pietro G.
A1 Szilagyi, Peter
A1 Chiasserini, Carla Fabiana
A1 Carcel, Jose Luis
A1 Velasco, Luis
A1 Spadaro, Salvatore
A1 Agraz, Fernando
A1 Robitzsch, Sebastian
A1 Rosales, Rafael
A1 Frascolla, Valerio
A1 Doostnejad, Roya
A1 Calvillo Fernández, Alejandro
A1 Bernini, Giacomo
AB Following the Industry 4.0 vision of a full digitization of the industry, time-critical services and applications, allowing network infrastructures to deliver information with determinism and reliability, are becoming more and more relevant for a set of vertical sectors. As a consequence, deterministic network solutions are progressively emerging, albeit they are still bounded to specific technological domains. Even considering the existence of interconnected deterministic networks, the provision of an end-to-end (E2E) deterministic service over them must rely on a specific control plane architecture, capable of seamlessly integrate and control the underlying multi-technology data plane. In this work, we envision such a control plane solution, extending previous works and exploiting several innovations and novel architectural concepts. The proposed control architecture is service-centric, in order to provide the necessary flexibility, scalability, and modularity to deal with a heterogenous data plane. The architecture is hierarchical and encompasses a set of management platforms to interact with specific network technologies overarched by an E2E platform for the management, monitoring, and control of E2E deterministic services. Furthermore, Artificial Intelligence (AI) and Digital Twinning are used to enable network predictability and automation, as well as smart resource allocation, to ensure service reliability in dynamic scenarios where existing services may terminate and new ones may need to be deployed.
PB Association for Computing Machinery (ACM)
SN 978-1-4503-9926-5/23/10
YR 2023
FD 2023-10
LK https://hdl.handle.net/10016/38913
UL https://hdl.handle.net/10016/38913
LA eng
NO Proceedings of: ACM MOBIHOC 2023: the 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 23-26 October 2023, Washington DC, USA.
NO This work has been partially funded by the European Commission Horizon Europe SNS JU PREDICT-6G (GA 101095890) Project.
DS e-Archivo
RD 30 jun. 2024