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RMHIL: A Rule Matching Algorithm Based on Heterogeneous Integrated Learning in Software Defined Network

To ensure the efficient operation of large-scale networks, the flow scheduling in the software defined network (SDN) requires the matching time and memory overhead of rule matching to be as low as possible. To meet the requirement, we solve the rule matching problem by integrating machine learning m...

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Detalles Bibliográficos
Autores principales: Guo, Yiping, Hu, Guyu, Shao, Dongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269192/
https://www.ncbi.nlm.nih.gov/pubmed/35808236
http://dx.doi.org/10.3390/s22134739

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