Integration of AI and SDN for Intelligent Network Orchestration

Authors

  • Ali Raza Department of Computer Science, University of Karachi
  • Fatima Zahra Department of Electrical Engineering, NED University of Engineering & Technology, Karachi
  • Imran Khan Department of Information Technology, COMSATS University Islamabad, Lahore Campus

Keywords:

Artificial Intelligence, Software-Defined Networking, Network Orchestration, Machine Learning, Reinforcement Learning, Predictive Maintenance, Network Security, Real-Time Data Processing

Abstract

The convergence of Artificial Intelligence (AI) and Software-Defined Networking (SDN) is revolutionizing network orchestration by introducing intelligence, adaptability, and automation. This paper explores the integration of AI techniques, such as machine learning and reinforcement learning, within the SDN framework to enhance network management, resource allocation, and fault detection. We present a comprehensive analysis of AI-driven SDN architectures, highlighting their applications in dynamic traffic management, predictive maintenance, and security. The study also addresses the challenges and future directions of this integration, emphasizing the need for standardized protocols and real-time data processing capabilities

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Published

2023-12-31

Issue

Jul-Dec 2023

Section

Articles

License

Copyright (c) 2023 International journal of advanced sciences and computing

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