Minimizing active nodes in MEC environments: a distributed learning-driven framework for application placement
© 2025 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/426649 |
| Acceso en línea: | https://hdl.handle.net/2117/426649 https://dx.doi.org/10.1016/j.comnet.2024.111008 |
| Access Level: | acceso embargado |
| Palabra clave: | Application placement Distributed deep reinforcement learning MEC Scalability Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors |
| Sumario: | © 2025 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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