Journal Article

Analysis of the Use of Artificial Intelligence in Software-Defined Intelligent Networks: A Survey

Suárez, Álvaro, Grajales Bustamante, Juan David, Alvarado Jaimes, Ricardo, Montoya Benitez, Alber Oswaldo, Ospina Cifuentes, Bayron Jesit, García Pineda, Vanessa

2024

Overview

The distributed structure of traditional networks often fails to promptly and accurately provide the computational power required for artificial intelligence (AI), hindering its practical application and implementation. Consequently, this research aims to analyze the use of AI in software-defined networks (SDNs). To achieve this goal, a systematic literature review (SLR) is conducted based on the PRISMA 2020 statement. Through this review, it is found that, bottom-up, from the perspective of the data plane, control plane, and application plane of SDNs, the integration of various network planes with AI is feasible, giving rise to Intelligent Software Defined Networking (ISDN). As a primary conclusion, it was found that the application of AI-related algorithms in SDNs is extensive and faces numerous challenges. Nonetheless, these challenges are propelling the development of SDNs in a more promising direction through the adoption of novel methods and tools such as route optimization, software-defined routing, intelligent methods for network security, and AI-based traffic engineering, among others.

• Publisher: MDPI AG
• Subject: Algorithms / Artificial intelligence / Automation / Bias / Bibliometrics / Big Data / Computer centers / Data collection / Decision making / Efficiency / Intelligent networks / Literature reviews / Metadata / Network management systems / Network security / Optimization / Research methodology / Software / software-defined network / Software-defined networking / Surveys / Systematic review / Traffic control / Traffic engineering / traffic prediction / Virtual private networks