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SMPTE Meetings and Conferences ( October 2022)
[ACTIVE]

Upgrading Performance of Your Streaming Services Using Server Hints

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Conference Paper
Content Type
Original Research
Volume
2022, No. 10, pp. 1–8
Abstract
A smooth playback behavior is critical for any OTT service. Viewers naturally like not to experience rebuffering events, but less frequent and shorter ones are preferred when they cannot be avoided. However, ensuring smoother playback becomes more challenging as more demanding services such as low-latency live and 4K streaming become more widely available. — It has been shown many times that adaptive streaming clients compete with each other for the available bandwidth and server capacity. The server's priority in responding to the individual requests sent by these clients should be based on clients' time-varying playback buffer conditions. Previously, we presented that the server could wisely allocate its output capacity among the incoming requests and largely mitigate the rebufferings suffered by the clients, provided that the clients informed the server about their buffer statuses using the Common Media Client Data (CMCD) standard. In a more recent study, we developed an alternative solution to the same problem using the Common Media Server Data (CMSD) standard, which is still a work-in-progress in the CTA. In this solution, the server's response to a request that indicated a sufficient buffer level was delayed until the requests that indicated an insufficient buffer level were handled. The server attached a new CMSD parameter to the eventual response disclosing how long the delay was. This parameter avoided misinterpretation and the subsequent incorrect decision by the client's rate-adaptation logic. Our experiments (for which we offer the source code) showed that the proposed CMSD parameter eliminated unnecessary rate-shifting to lower bitrates while reducing the rebuffering rate as well as the rebuffering duration. — This paper summarizes these findings and illustrates other envisioned use cases for the CMSD standard.
Publication Date
2022-10-24
DOI
10.5594/M001960
ISBN
Print: 978-1-61482-963-8
Link
https://doi.org/10.5594/M001960
Author(s)
Ali C. BegenPhD, Comcast (US) and Ozyegin University (Turkey)
Yasser SyedPhD, Comcast (US)
Alex GiladiComcast (US)
Keyword(s)
Adaptive Bitrate Streaming, OTT, Content Delivery Network, DASH, HLS, Common Media Server Data (CMSD), Common Media Client Data (CMCD), SAND
Copyright
© 2022 Society of Motion Picture and Television Engineers, Inc.

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Ali C. Begen, Yasser Syed, and Alex Giladi; Upgrading Performance of Your Streaming Services Using Server Hints, SMPTE Meetings and Conferences ( October 2022); SMPTE, 2022, ISBN: 978-1-61482-963-8. Available at https://doi.org/10.5594/M001960
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Ali C. Begen, Yasser Syed, and Alex Giladi; Upgrading Performance of Your Streaming Services Using Server Hints, SMPTE Meetings and Conferences ( October 2022); SMPTE, 2022, ISBN: 978-1-61482-963-8. Available at https://doi.org/10.5594/M001960

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Ali C. Begen, Yasser Syed, and Alex Giladi; Upgrading Performance of Your Streaming Services Using Server Hints, SMPTE Meetings and Conferences ( October 2022); SMPTE, 2022, ISBN: 978-1-61482-963-8. Available at https://doi.org/10.5594/M001960
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<span class="citation">Ali C. Begen, Yasser Syed, and Alex Giladi; <cite>Upgrading Performance of Your Streaming Services Using Server Hints</cite>, SMPTE Meetings and Conferences ( October 2022); SMPTE, 2022, ISBN: 978-1-61482-963-8. Available at <a href="https://doi.org/10.5594/M001960" target="_blank" rel="noopener">https://doi.org/10.5594/M001960</a></span>

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Ali C. Begen, Yasser Syed, and Alex Giladi; Upgrading Performance of Your Streaming Services Using Server Hints, SMPTE Meetings and Conferences ( October 2022); SMPTE, 2022, ISBN: 978-1-61482-963-8
doi: 10.5594/M001960
url: https://doi.org/10.5594/M001960
Snippet:
<li>
Ali C. Begen, Yasser Syed, and Alex Giladi; <cite id="bib-10-5594-m001960">Upgrading Performance of Your Streaming Services Using Server Hints</cite>, SMPTE Meetings and Conferences ( October 2022); SMPTE, 2022, ISBN: 978-1-61482-963-8
<span class="doi">10.5594/M001960</span>
</li>