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Artificial intelligence enabled softwaredefined networking: a comprehensive overview.

Authors :
Latah, Majd
Toker, Levent
Source :
Electronics Letters (Wiley-Blackwell); 5/16/2019, Vol. 55 Issue 10, p79-99, 21p
Publication Year :
2019

Abstract

Software-defined networking (SDN) represents a promising networking architecture that combines central management and network programmability. SDN separates the control plane from the data plane and moves the network management to a central point, called the controller that can be programmed and used as the brain of the network. Recently, the research community has shown an increased tendency to benefit from the recent advancements in the artificial intelligence (AI) field to provide learning abilities and better decision making in SDN. In this study, the authors provide a detailed overview of the recent efforts to include AI in SDN. The study showed that the research efforts focused on three main sub-fields of AI namely: machine learning, meta-heuristics and fuzzy inference systems. Accordingly, in this work, the authors investigate their different application areas and potential use, as well as the improvements achieved by including AI-based techniques in the SDN paradigm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00135194
Volume :
55
Issue :
10
Database :
Complementary Index
Journal :
Electronics Letters (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
136489721
Full Text :
https://doi.org/10.1049/iet-net.2018.5082