Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview
March 19, 2018 Β· Declared Dead Β· π IET Networks
"No code URL or promise found in abstract"
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Authors
Majd Latah, Levent Toker
arXiv ID
1803.06818
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.NI
Citations
112
Venue
IET Networks
Last Checked
3 months ago
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 showed 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, we provide a detailed overview of the recent efforts to include AI in SDN. Our 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 we investigate their different application areas and potential use, as well as the improvements achieved by including AI-based techniques in the SDN paradigm.
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