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Performance Analysis of TEVN with Ryu SDN Controller.

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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]
Copyright of Journal of Information Science & Engineering is the property of Institute of Information Science, Academia Sinica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Performance Analysis of TEVN with Ryu SDN Controller.
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  Data: <searchLink fieldCode="AR" term="%22BHARDWAJ%2C+SHANU%22">BHARDWAJ, SHANU</searchLink><relatesTo>1</relatesTo><i> shanubhardwaj1@gmail.com</i><br /><searchLink fieldCode="AR" term="%22KUMAR%2C+SHAILENDER%22">KUMAR, SHAILENDER</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22GIRDHAR%2C+ASHISH%22">GIRDHAR, ASHISH</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Science+%26+Engineering%22">Journal of Information Science & Engineering</searchLink>. Mar2026, Vol. 42 Issue 2, p309-321. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Software-defined+networking%22">Software-defined networking</searchLink><br /><searchLink fieldCode="DE" term="%22Network+performance%22">Network performance</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+networks%22">Virtual networks</searchLink><br /><searchLink fieldCode="DE" term="%22Bandwidth+allocation%22">Bandwidth allocation</searchLink>
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  Label: Abstract
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  Data: 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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  Group: Ab
  Data: <i>Copyright of Journal of Information Science & Engineering is the property of Institute of Information Science, Academia Sinica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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        Type: general
      – SubjectFull: Network performance
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      – SubjectFull: Virtual networks
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              Text: Mar2026
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