This analytical article explores the potential of Software Defined Networking (SDN) technology in automating network management, in particular from the perspective of integrating artificial intelligence and machine learning algorithms. The principle of separating the control and data planes of the SDN architecture allows for centralization of network management and software flexibility. The article analyzes advanced algorithmic approaches to optimal controller placement, dynamic traffic management, predictive allocation of network resources, and closed-loop automation mechanisms. It also discusses the problems, limitations, and future research directions in the practical implementation of intelligent algorithms.
Research of Network Management Automation Algorithms Based on Software Defined Networking Technology
DOI:
Keywords:
Software Defined Networking
network management automation
machine learning
Abstract
References
Banar, A., & Vorobets, H. (2025). Promising directions for developing, improving and applying SDN networks based on artificial intelligence methods. Herald of Khmelnytskyi National University. Technical sciences , (355)
AP-DQN: A Novel Approach for Controller Placement in Software-Defined Networks Using Deep Reinforcement Learning. (2026). Results in Engineering , 109631
Mathematical Description of Control Problems in SDN Networks. Academy of science
Ibironke, J. (2025). AI-Driven Dynamic Traffic Management in Multi-Domain SDN Networks: An intelligent framework for traffic management. University of Tampere
Cisco Systems. (2024). Understand Close Loop Automation in Cloud Based Software Defined Network. Cisco Documentation
Muheden, KM, et al. (2024). Exploring the Synergy: A Review of Machine Learning Techniques in Software Defined Networking (SDN). ITM Web of Conferences , 64, 01016
Dynamic Predictive Feedback Mechanism for Intelligent Bandwidth Control in Future SDN Networks. (2025). DOAJ
Cho, S., et al. (2019). Survey on Machine Learning Algorithms for SDN/NFV Automation. The Journal of Korean Institute of Communications and Information Sciences
JPMorgan Chase Bank. (2023). System and method for declarative automation for deployment of a software-defined network (SDN). US Patent Application
Network Intelligent Control and Traffic Optimization Based on SDN and Artificial Intelligence. Temple University