Heuristic strategies for NFV-enabled renewable and non-renewable energy management in the future IoT world
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to se...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| 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:2117/362459 |
| Acceso en línea: | https://hdl.handle.net/2117/362459 https://dx.doi.org/10.1109/ACCESS.2021.3110246 |
| Access Level: | acceso abierto |
| Palabra clave: | Energy conservation Renewable energy sources Energy efficiency Energy management Demand response NFV IoT Power consumption Workload scheduling Genetic algorithm Greedy algorithm Dynamic programming Renewable energy Energia--Estalvi Energies renovables Àrees temàtiques de la UPC::Energies::Eficiència energètica Àrees temàtiques de la UPC::Energies::Recursos energètics renovables |
| Sumario: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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