Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation

Abstract Cybertwin (CT) is an innovative network structure that digitally simulates humans and items in a virtual environment, significantly influencing Cybertwin instances more than regular VMs. Cybertwin-driven networks, combined with Mobile Edge Computing (MEC), provide practical options for tran...

Descripció completa

Dades bibliogràfiques

Autors principals:	Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Neetu Faujdar, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2024-08-01
Col·lecció:	Journal of Cloud Computing: Advances, Systems and Applications
Matèries:	Deep learning Cybertwin Mobile edge computing IoT CNN LSTM
Accés en línia:	https://doi.org/10.1186/s13677-024-00688-8
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!