Cargando…
Fine-granularity inference and estimations to network traffic for SDN
An end-to-end network traffic matrix is significantly helpful for network management and for Software Defined Networks (SDN). However, the end-to-end network traffic matrix's inferences and estimations are a challenging problem. Moreover, attaining the traffic matrix in high-speed networks for...
Autores principales: | Jiang, Dingde, Huo, Liuwei, Li, Ya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931479/ https://www.ncbi.nlm.nih.gov/pubmed/29718913 http://dx.doi.org/10.1371/journal.pone.0194302 |
Ejemplares similares
-
Traffic Management in IoT Backbone Networks Using GNN and MAB with SDN Orchestration
por: Guo, Yanmin, et al.
Publicado: (2023) -
Application of SDN Network Traffic Prediction Based on Speech Recognition in Educational Information Optimization Platform
por: Zheng, Susheng, et al.
Publicado: (2022) -
An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers
por: Charalampou, Paris, et al.
Publicado: (2019) -
Traffic prediction in SDN for explainable QoS using deep learning approach
por: Wassie, Getahun, et al.
Publicado: (2023) -
SDN: software defined networks
por: Nadeau, Thomas D, et al.
Publicado: (2013)