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Software Defined Networking Enabled Traffic Optimization for High Performance Communication Networks

Rahul Kale

Abstract

Software Defined Networking (SDN) has emerged as a transformative networking paradigm that separates the control plane from the data plane, enabling centralized network management, programmability, and dynamic traffic optimization. Traditional communication networks often struggle to handle the increasing demands for scalability, flexibility, and efficient resource utilization in modern high-performance environments. SDN addresses these limitations by providing intelligent traffic engineering, real-time monitoring, and automated policy enforcement. This study explores the role of SDN in traffic optimization for high-performance communication networks, focusing on routing efficiency, congestion management, load balancing, and Quality of Service (QoS) enhancement. The research examines how SDN controllers utilize global network visibility to dynamically allocate resources and optimize data flows across heterogeneous network infrastructures. Additionally, the study investigates the integration of machine learning and artificial intelligence techniques within SDN frameworks to improve predictive traffic management and network reliability. Through a detailed literature review and methodological analysis, the research highlights the advantages of SDN-enabled traffic optimization in reducing latency, improving bandwidth utilization, enhancing security, and supporting next-generation applications such as cloud computing, Internet of Things (IoT), and 5G networks. The findings demonstrate that SDN significantly contributes to the development of adaptive, scalable, and energy-efficient communication systems capable of meeting future networking challenges

Article Information

Journal

International Journal of Emerging Trends in Engineering and Management Research

Volume (Issue)

Vol. 1 No. 3 (2016): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR)

DOI

https://doi.org/10.15662/ijetemr.2016.0103001

Pages

722-731

Published

November 10, 2016
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Rahul Kale (%2016). Software Defined Networking Enabled Traffic Optimization for High Performance Communication Networks. International Journal of Emerging Trends in Engineering and Management Research , Vol. 1 No. 3 (2016): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 722-731. https://doi.org/10.15662/ijetemr.2016.0103001

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