Performance Analysis of TEVN with Ryu SDN Controller.

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Bibliographic Details
Title:	Performance Analysis of TEVN with Ryu SDN Controller.
Authors:	BHARDWAJ, SHANU¹ shanubhardwaj1@gmail.com, KUMAR, SHAILENDER¹, GIRDHAR, ASHISH²
Source:	Journal of Information Science & Engineering. Mar2026, Vol. 42 Issue 2, p309-321. 13p.
Subjects:	Software-defined networking, Network performance, Virtual networks, Bandwidth allocation
Abstract:	In today's dynamic networking landscape, integrating Software-Defined Networking (SDN) with Traffic-Expert Virtual Networks (TEVN) presents a promising avenue for optimizing network performance. This research investigates the implementation of TEVN Embedding within SDN frameworks, utilizing the Ryu controller to address inefficiencies in traditional virtual network embedding algorithms. Methodologically, the study proposes a framework for TEVN and evaluates its performance against benchmark methods using various parameters such as throughput, bandwidth, packet loss, and Round-Trip Time (RU). The evaluation is conducted through extensive experimentation in simulated SDN environments, with results analyzed and compared comprehensively. The findings reveal that TEVN significantly improves network efficiency, achieving higher throughput, lower latency, and reduced packet loss compared to default embedding algorithms. These results underscore the potential of TEVN to revolutionize network management practices, offering a promising solution for addressing the evolving challenges of modem network infrastructures. This research contributes to advancing SDN technologies and gives insights into enhancing network efficiency in dynamic environments. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	In today's dynamic networking landscape, integrating Software-Defined Networking (SDN) with Traffic-Expert Virtual Networks (TEVN) presents a promising avenue for optimizing network performance. This research investigates the implementation of TEVN Embedding within SDN frameworks, utilizing the Ryu controller to address inefficiencies in traditional virtual network embedding algorithms. Methodologically, the study proposes a framework for TEVN and evaluates its performance against benchmark methods using various parameters such as throughput, bandwidth, packet loss, and Round-Trip Time (RU). The evaluation is conducted through extensive experimentation in simulated SDN environments, with results analyzed and compared comprehensively. The findings reveal that TEVN significantly improves network efficiency, achieving higher throughput, lower latency, and reduced packet loss compared to default embedding algorithms. These results underscore the potential of TEVN to revolutionize network management practices, offering a promising solution for addressing the evolving challenges of modem network infrastructures. This research contributes to advancing SDN technologies and gives insights into enhancing network efficiency in dynamic environments. [ABSTRACT FROM AUTHOR]
ISSN:	10162364
DOI:	10.6688/JISE.202603_42(2).0003