Replication data for: Autonomous flow routing for near real-time quality of service assurance
The datasets are the output of a Python-based simulator of control plane containing the module of deep reinforcement learning based flow operation, a lightweight Software-Defined Networking controller, the flow routing manager and the packet node agents. The data plane was accurately emulated using...
| Autores: | , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repositorio: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::060b0725dfed51e738542f40c898073e |
| Acceso en línea: | https://doi.org/10.34810/DATA1404 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer and Information Science Flow routing Quality of service assurance Network automation Near-real-time control Deep reinforcement learning Multi-agent systems Service assurance Quality assurance |
| Sumario: | The datasets are the output of a Python-based simulator of control plane containing the module of deep reinforcement learning based flow operation, a lightweight Software-Defined Networking controller, the flow routing manager and the packet node agents. The data plane was accurately emulated using a simulator based on CURSA-SQ. |
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