Enhancing Virtual Network Performance Using Software-Defined Networking (SDN)

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Authors: Sadiq Sahip Majeed
Cited by: 0

Abstract

In recent years, the increasing demand for high-performance, scalable, and adaptable network infrastructures has led to the widespread adoption of virtual networks across data centers, cloud computing environments, and enterprise systems. However, because of their strict and hardwaredependent control mechanisms, traditional network topologies sometime find it difficult to match the performance and adaptability needs of this dynamic environments. In order to improve the performance of virtual networks, this study investigates the use of software-defined networking (SDN),a revolutionary technique that allows for centralized and programmable network management by separating the control and data planes. SDN-enabled network management and conventional network operation without SDN are the two scenarios in which performance metrics are methodically gathered and examined. The findings unequivocally show that SDN significantly enhances bandwidth usage, traffic flow optimization, and dynamic routing modifications particularly in high-load of failure scenarios. Additionally, SDN’s programmable nature enables real-time network adaption which lowers downtime and improves quality of service (QoS). By providing empirical support for the incorporation of SDN into virtual network topologies, the study add to corpus of knowledge. Additionally it offers a platform for implementing SDN based fixes to existing systems’ performance snags. The findings indicate that SDN not only boosts the efficiency of virtual networks but also lays a foundation for incorporating intelligent network automation, paving the way for future innovations such as AI-driven network orchestration.

Fields of Study & Subjects

Software-Defined Networks and 5G Advanced Optical Network Technologies Cloud Computing and Resource Management

Publication details

Journal / source
Muthanna Journal of Pure Science
Volume
12
Issue
2
Publication date
6 January 2026
Language
EN