… networking (SDN), network functions virtualization (NFV), big data, and machine learning
have … to integrate various machine learning (ML) algorithms, big data, SDN, and NFV to build a …

… threats for providing self-managed protection against them, utilizing SDN/NFV security
defenses. Another work that investigates the use of machine learning in SDN/NFV for network …

… Machine learning algorithms: This study investigates several popular linear and nonlinear
ML algorithms to forecast the total traffic of a cell, during the next hour of different traffic profiles…

… This research is around the combination of SDN and NFV for rational decision making to …
the SDN-NFV environment and security management, through several machine learning based …

… CONCULSIONS In this paper, we presented an SDN/NFV wireless testbed with an aim to
evaluate and demonstrate machine learning-based network management. This test-bed …

… machine learning (ML) algorithms, big data analytics platforms, software-defined networking
(SDN), and network functions virtualization (NFV… each application by using SDN. Finally, the …

… The aim of the work was to identify whether machine learning can … and their posterior
implementation into an SDN network. Regarding ML-… Regarding ML-assisted IP routing and its …

… of NFV resources consumption using machine learning has … is the first machine learning-based
method in the NFV field, … , and the impact of using machine learning has been practically …

… in NFV using machine learning techniques, analysis and comparison of the effect of different
methods of machine learning … network (SDN) and network function virtualization (NFV) are …

… industry is rapidly adopting Machine Learning (ML) … use of machine learning for advanced
anomaly detection, and specifically deploys the Apache Spot ML framework on an SDN/NFV-…