SDN_with_AI_Presentation SDN_with_AI_Presentation.pptx
- 1. Software-Defined Networking with Artificial Intelligence Revolutionizing Network Management and Optimization
- 2. Introduction • • What is SDN? • - A networking approach that separates the control plane from the data plane for centralized management. • • What is AI? • - The simulation of human intelligence processes by machines to analyze data and make decisions. • • Overview: Integrating AI into SDN enables smarter, adaptive, and efficient network
- 3. Benefits of SDN with AI • • Intelligent traffic management • • Real-time network monitoring • • Improved scalability and adaptability • • Automated fault detection and recovery
- 4. Use Cases of AI in SDN • • Intrusion detection and prevention • • Dynamic resource allocation • • Network performance optimization • • Predictive maintenance
- 5. AI-Driven SDN Architecture • • Data collection at the control plane • • AI models for decision-making • • Application in data plane actions
- 6. Challenges in SDN with AI Integration • • High computational requirements • • Data privacy and security concerns • • Complexity in AI model deployment • • Lack of standardized protocols
- 7. Case Studies • • Example 1: AI optimizing SDN in cloud data centers • • Example 2: AI in SDN-based DDoS attack detection
- 8. Future Prospects • • Enhanced AI models for autonomous networking • • AI-driven self-healing networks • • Integration with 6G networks
- 9. Conclusion • • Summary of benefits, challenges, and future directions • • Importance of combining SDN and AI for modern networks
- 10. Questions • • Feel free to ask any questions!