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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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2024-08-01
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| Serie: | Journal of Cloud Computing: Advances, Systems and Applications |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s13677-024-00688-8 |
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