Enhancing Network Management Through Machine Learning in Software-Defined Networking

Registration ID: IJNRD_220172

Published ID: IJNRD2404880

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Hemant Kumar Bhardwaj, Arvind Panwar

SDN (Software-Defined Networking,) Machine Learning Integration, Traffic Classification, Evolution Network Management, Optimization Intelligent

The increasing diversification of Internet applications and the ongoing evolution of network infrastructure, fueled by emerging technologies, have introduced complexities to network management. Effectively classifying network traffic is crucial for managing network resources based on quality of service and security requirements. However, conventional traffic classification methods relying on Deep Packet Inspection fall short of meeting the demanding scalability, security, and privacy criteria. The centralized controller in Software-Defined Networking offers a comprehensive network view, easing traffic analysis and providing direct programming capabilities. This allows for dynamic adjustments of traffic flows to meet evolving network requirements. The integration of Machine Learning techniques, along with these features, enables the infusion of intelligence into networks, optimizing their performance and enhancing management and maintenance. In this context, our work aims to conduct a Systematic Literature Review on traffic classification in Software-Defined Networking using Machine Learning techniques. Additionally, we systematically analyze and organize the chosen seminal works based on the categorization of traffic classes and the employed Machine Learning techniques, drawing meaningful research conclusions. Finally, we identify new challenges and propose future research directions in this domain.

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Hemant Kumar Bhardwaj & Arvind Panwar (April-2024). Enhancing Network Management Through Machine Learning in Software-Defined Networking. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i703-i720. https://ijnrd.org/papers/IJNRD2404880.pdf

Volume 9 Issue 4, April-2024

Pages : i703-i720

Paper Reg. ID: IJNRD_220172

Published Paper Id: IJNRD2404880

Downloads: 000122024

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: GHAZIABAD, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404880.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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