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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...

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Wedi'i Gadw mewn:
Prif Awduron: Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Neetu Faujdar, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: SpringerOpen 2024-08-01
Cyfres:Journal of Cloud Computing: Advances, Systems and Applications
Pynciau:
Deep learning
Cybertwin
Mobile edge computing
IoT
CNN
LSTM
Mynediad Ar-lein:https://doi.org/10.1186/s13677-024-00688-8
Tagiau: Ychwanegu Tag
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