QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration

The surge in global internet traffic, primarily fueled by the rise of streaming platforms, cloud computing, and data-intensive applications, has posed significant challenges in effectively managing network resources. Ensuring consistent Quality of Service (QoS) across various types of traffic, such...

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Main Authors: Imran Edzereiq, Kamarudin, Mohamed Ariff, Ameedeen
Format: Article
Language:English
Published: Politeknik Negeri Padang, Indonesia 2025
Subjects:
Online Access:https://umpir.ump.edu.my/id/eprint/45329/
http://dx.doi.org/10.62527/joiv.9.4.3025
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author Imran Edzereiq, Kamarudin
Mohamed Ariff, Ameedeen
author_facet Imran Edzereiq, Kamarudin
Mohamed Ariff, Ameedeen
author_sort Imran Edzereiq, Kamarudin
building UMP Institutional Repository
collection Online Access
description The surge in global internet traffic, primarily fueled by the rise of streaming platforms, cloud computing, and data-intensive applications, has posed significant challenges in effectively managing network resources. Ensuring consistent Quality of Service (QoS) across various types of traffic, such as video streaming, online gaming, and real-time communications, is becoming an increasingly challenging task. Traditional routing techniques, such as best-effort and shortest-path methods, are increasingly falling short in meeting these demands due to their inability to account for different traffic requirements. To address these limitations, this paper introduces QSroute, a novel QoS-based routing (QBR) scheme specifically designed for Software Defined Networking (SDN) environments. QSroute leverages the global view provided by SDN to dynamically optimize routing decisions based on critical QoS metrics, including available bandwidth, packet delay, and packet loss ratio. Our approach computes the optimal path between source and destination nodes by minimizing a composite link cost derived from these metrics. Extensive simulation results show that QSroute significantly outperforms existing QBR schemes, particularly in terms of reducing end-to-end delays, minimizing jitter, and improving overall throughput. These performance gains underscore QSroute’s potential as a highly effective solution for addressing the complex demands of modern network environments, offering enhanced scalability and network efficiency. Future research will investigate the integration of additional QoS metrics, as well as the scheme's scalability in more complex, multi-domain SDN environments, to further enhance its applicability
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spelling ump-453292025-10-02T04:26:59Z https://umpir.ump.edu.my/id/eprint/45329/ QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration Imran Edzereiq, Kamarudin Mohamed Ariff, Ameedeen QA75 Electronic computers. Computer science The surge in global internet traffic, primarily fueled by the rise of streaming platforms, cloud computing, and data-intensive applications, has posed significant challenges in effectively managing network resources. Ensuring consistent Quality of Service (QoS) across various types of traffic, such as video streaming, online gaming, and real-time communications, is becoming an increasingly challenging task. Traditional routing techniques, such as best-effort and shortest-path methods, are increasingly falling short in meeting these demands due to their inability to account for different traffic requirements. To address these limitations, this paper introduces QSroute, a novel QoS-based routing (QBR) scheme specifically designed for Software Defined Networking (SDN) environments. QSroute leverages the global view provided by SDN to dynamically optimize routing decisions based on critical QoS metrics, including available bandwidth, packet delay, and packet loss ratio. Our approach computes the optimal path between source and destination nodes by minimizing a composite link cost derived from these metrics. Extensive simulation results show that QSroute significantly outperforms existing QBR schemes, particularly in terms of reducing end-to-end delays, minimizing jitter, and improving overall throughput. These performance gains underscore QSroute’s potential as a highly effective solution for addressing the complex demands of modern network environments, offering enhanced scalability and network efficiency. Future research will investigate the integration of additional QoS metrics, as well as the scheme's scalability in more complex, multi-domain SDN environments, to further enhance its applicability Politeknik Negeri Padang, Indonesia 2025-07-31 Article PeerReviewed pdf en cc_by_sa_4 https://umpir.ump.edu.my/id/eprint/45329/1/3025-12180-1-PB.pdf Imran Edzereiq, Kamarudin and Mohamed Ariff, Ameedeen (2025) QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration. JOIV : International Journal on Informatics Visualization, 9 (4). pp. 1697-1707. ISSN 2549-9610. (Published) http://dx.doi.org/10.62527/joiv.9.4.3025 http://dx.doi.org/10.62527/joiv.9.4.3025 http://dx.doi.org/10.62527/joiv.9.4.3025
spellingShingle QA75 Electronic computers. Computer science
Imran Edzereiq, Kamarudin
Mohamed Ariff, Ameedeen
QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration
title QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration
title_full QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration
title_fullStr QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration
title_full_unstemmed QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration
title_short QSroute: Enhancing software defined networking routing scheme through advanced QoS metrics integration
title_sort qsroute: enhancing software defined networking routing scheme through advanced qos metrics integration
topic QA75 Electronic computers. Computer science
url https://umpir.ump.edu.my/id/eprint/45329/
https://umpir.ump.edu.my/id/eprint/45329/
https://umpir.ump.edu.my/id/eprint/45329/
http://dx.doi.org/10.62527/joiv.9.4.3025