A reinforcement learning approach for Virtual Network Function Chaining and sharing in softwarized networks
© 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...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| 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:2117/381198 |
| Acceso en línea: | https://hdl.handle.net/2117/381198 https://dx.doi.org/10.1109/TNSM.2022.3175910 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer network architectures VNF Sharing Reinforcement Learning Virtual Network Function chaining placement Resource allocation Ordinadors, Xarxes d'--Arquitectures Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors |
| 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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