Profiling the ST 2110 Network Traffic for Load Testing with Open-Source Tools

Metadata

Publisher: SMPTE
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Motion Imaging Jour.
Volume: 133, No. 1, pp. 52–65
Abstract: The transition to IP-based and software workflows in broadcasting has increased demands on networks for consistent performance, especially with the adoption of the SMPTE ST 2110 standard and its unique timing, synchronization, and bandwidth requirements. Unlike traditional internet-like traffic profiles, ST 2110 systems exhibit distinct traffic characteristics, highlighting the need for standardized acceptance and load testing methods. This paper discusses profiling operational ST 2110 systems under load, creating a statistical model for media stream distribution based on typical use cases. It also explores using open-source tools for load testing, enabling media companies and broadcasters to simulate high-traffic scenarios, identify system limitations, and improve network scalability. This study advances the understanding of how network designs and switching platforms respond to high volumes of ST 2110-like traffic, offering a cost-effective, efficient, and scalable approach to network management in the broadcast industry.
Publication Date: 2024-01-01
DOI: 10.5594/JMI.2024/LHXY3357
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2024/LHXY3357
Author(s): Ievgen Kostiukevych
Thomas Kernen
Willem Vermost
Pavlo Kondratenko
Keyword(s): IP-Based Workflows, Load Testing, System Limitations, Predictable Performance
Copyright: © 2024 SMPTE

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Ievgen Kostiukevych, Thomas Kernen, Willem Vermost, and Pavlo Kondratenko; Profiling the ST 2110 Network Traffic for Load Testing with Open-Source Tools, MIJ 2024, Volume 133, Number 1 (pp. 52 to 65); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/LHXY3357

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Ievgen Kostiukevych, Thomas Kernen, Willem Vermost, and Pavlo Kondratenko; Profiling the ST 2110 Network Traffic for Load Testing with Open-Source Tools, MIJ 2024, Volume 133, Number 1 (pp. 52 to 65); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/LHXY3357

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<span class="citation">Ievgen Kostiukevych, Thomas Kernen, Willem Vermost, and Pavlo Kondratenko; <cite>Profiling the ST 2110 Network Traffic for Load Testing with Open-Source Tools</cite>, MIJ 2024, Volume 133, Number 1 (pp. 52 to 65); SMPTE, 2024. Available at <a href="https://doi.org/10.5594/JMI.2024/LHXY3357" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2024/LHXY3357</a></span>

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Ievgen Kostiukevych, Thomas Kernen, Willem Vermost, and Pavlo Kondratenko; Profiling the ST 2110 Network Traffic for Load Testing with Open-Source Tools, MIJ 2024, Volume 133, Number 1 (pp. 52 to 65); SMPTE, 2024
doi: 10.5594/JMI.2024/LHXY3357
url: https://doi.org/10.5594/JMI.2024/LHXY3357

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<li>
Ievgen Kostiukevych, Thomas Kernen, Willem Vermost, and Pavlo Kondratenko; <cite id="bib-10-5594-jmi-2024-lhxy3357">Profiling the ST 2110 Network Traffic for Load Testing with Open-Source Tools</cite>, MIJ 2024, Volume 133, Number 1 (pp. 52 to 65); SMPTE, 2024
<span class="doi">10.5594/JMI.2024/LHXY3357</span>
</li>