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SMPTE Meetings and Conferences ( October 2023)
[ACTIVE]

Real-time Streaming Reliability and Performance Optimization Using Content Steering

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Conference Paper
Content Type
Original Research
Volume
2023, No. 10, pp. 13–15
Abstract
Media streaming over the Internet is dominated by HTTP adaptive streaming solutions such as DASH and HLS. These solutions typically host the required manifest files and media segments on multiple content delivery networks (CDNs). To avoid outages and performance problems and for scalability reasons, selecting the optimal CDN is an essential step in the media streaming workflow. Content steering provides a deterministic capability for a content distributor to switch a player's CDN source, both at startup and in the middle of a session, through a remote out-of-band steering service. This paper focuses on the theoretical and practical aspects of content steering for DASH. We highlight the important features of the DASH-IF Content Steering specification and demonstrate our implementation in an open-source media player (dash.js). Moreover, we illustrate how streaming metrics based on the CTA-5004 (Common Media Client Data, CMCD) specification and information about the Internet service provider can drive the selection mechanism on the steering server. Our results show that content steering enables a seamless transition between different CDNs during a running streaming session and has the potential to significantly improve the quality of experience for the end-user.
Publication Date
2023-10-16
DOI
10.5594/M002031
ISBN
Print: 978-1-61482-964-5
Link
https://doi.org/10.5594/M002031
Author(s)
Daniel SilhavyFraunhofer FOKUS
Stefan PhamFraunhofer FOKUS
Alex GiladiComcast
Alex BalkComcast
Ali C. BegenOzyegin University
Will LawAkamai
Keyword(s)
Content Steering, Content Delivery Network, DASH, HLS, Adaptive Bitrate Streaming
Copyright
© 2023 Society of Motion Picture and Television Engineers, Inc.

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Daniel Silhavy, Stefan Pham, Alex Giladi, Alex Balk, Ali C. Begen, and Will Law; Real-time Streaming Reliability and Performance Optimization Using Content Steering, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002031
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Daniel Silhavy, Stefan Pham, Alex Giladi, Alex Balk, Ali C. Begen, and Will Law; Real-time Streaming Reliability and Performance Optimization Using Content Steering, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002031

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Daniel Silhavy, Stefan Pham, Alex Giladi, Alex Balk, Ali C. Begen, and Will Law; Real-time Streaming Reliability and Performance Optimization Using Content Steering, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002031
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<span class="citation">Daniel Silhavy, Stefan Pham, Alex Giladi, Alex Balk, Ali C. Begen, and Will Law; <cite>Real-time Streaming Reliability and Performance Optimization Using Content Steering</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at <a href="https://doi.org/10.5594/M002031" target="_blank" rel="noopener">https://doi.org/10.5594/M002031</a></span>

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Daniel Silhavy, Stefan Pham, Alex Giladi, Alex Balk, Ali C. Begen, and Will Law; Real-time Streaming Reliability and Performance Optimization Using Content Steering, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
doi: 10.5594/M002031
url: https://doi.org/10.5594/M002031
Snippet:
<li>
Daniel Silhavy, Stefan Pham, Alex Giladi, Alex Balk, Ali C. Begen, and Will Law; <cite id="bib-10-5594-m002031">Real-time Streaming Reliability and Performance Optimization Using Content Steering</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
<span class="doi">10.5594/M002031</span>
</li>