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Why is it important?
This study shows an increased adoption of various AI techniques to solve a wide range of networking problems and to address new challenges introduced by the SDN paradigm. It also shows that machine learning (ML), meta-heuristics and fuzzy systems were the most common used AI approaches in SDNs. In addition, it has shown that the recent advances in ML techniques such as deep learning and hybrid AI approaches can provide better results in compared with traditional ML approaches.
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This page is a summary of: Artificial intelligence enabled software-defined networking: a comprehensive overview, IET Networks, March 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-net.2018.5082.
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