End-to-end service orchestration leveraging computing and communication resources in the cloud continuum is addressed. A modular architecture is proposed to facilitate data-driven/AI adoption, while achieving enhanced energy efficient automation in 6G service provisioning. A selection of available enabling technologies to deploy the architecture is presented.
Pittala G.F., Borsatti D., Davoli G., Cerroni W., Tarchi D., Raffaelli C. (2023). Towards 6G AI-enabled Service Orchestration in the Cloud Continuum. IEEE Computer Society [10.1109/ICTON59386.2023.10207454].
Towards 6G AI-enabled Service Orchestration in the Cloud Continuum
Pittala G. F.;Borsatti D.;Davoli G.;Cerroni W.;Tarchi D.;Raffaelli C.
2023
Abstract
End-to-end service orchestration leveraging computing and communication resources in the cloud continuum is addressed. A modular architecture is proposed to facilitate data-driven/AI adoption, while achieving enhanced energy efficient automation in 6G service provisioning. A selection of available enabling technologies to deploy the architecture is presented.File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.