Live Cloud Ingest Using Open Alternatives RIST & SRT
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Journal Article
- Content Type
- Original Research
- Abbreviated Title
- SMPTE Mot. Imag. J
- Volume
- 129, No. 10, pp. 21–32
- Abstract
- As cloud production becomes an integral part of broadcasters’ live workflows, the corresponding cloud infrastructure becomes an integral part of the media transport network. Cloud infrastructure providers, often public in nature, are accessible either through the public internet or through leased lines. Regardless of public or private, experience shows that these connections are not up to the quality standards required for low latency live streaming media, making quality-enhancing technologies, such as retransmission or Automatic Repeat reQuest (ARQ), an imperative part of the network infrastructure to deliver on the requirements for broadcast quality transmission. Two solutions have emerged as front runners on the quest for the next de facto standard for broadcast retransmission—Reliable Internet Stream Transport (RIST) and Secure Reliable Transport (SRT). This report compares these two alternatives from a theoretical and performance perspective and compares them with a commercial reference alternative.
- Publication Date
- 2020-11-01
- DOI
10.5594/JMI.2020.3024519- ISSN
- Print:
1545-0279| Electronic:2160-2492 - Link
- https://doi.org/10.5594/JMI.2020.3024519
- Author(s)
- Mikael Wånggren
bio
Mikael Wånggren holds a master’s degree in electrical engineering from the Royal Institute of Technology (KTH), Stockholm, Sweden. He started his career as an embedded software developer for a realtime operating system widely used in the telecommunications industry. In 2012, he joined Net Insight, Stockholm, Sweden, where he was part of starting up their Automatic Repeat reQuest (ARQ)-based internet media transport product line, and he has had the opportunity to witness the then still nascent market segment grow exponentially since then. Currently, he is product owner for the in-house developed ARQ protocols. He is an active member of the RIST Activity Group within the VSF as well as a keen observer of SRT progress.Love Thyressonbio
Love Thyresson received a bachelor’s degree in computer science from Örebro University, Örebro, Sweden, and a master’s degree in computer science from Linköping University, Linköping, Sweden. After spending the earlier part of his career in various strategic product manager roles at Ericsson, Stockholm, Sweden and San Jose, CA, in fields such as mobile backhaul and network management systems, he joined Net Insight in 2014 to head up the internet media transport business. Under his leadership, this relatively untried market segment has grown rapidly and proved itself to be an indispensable tool in modern media communications. Since the original publication of this article, Thyresson has left Net Insight for new opportunities outside of the media industry. - Keyword(s)
- Cloud, Contribution, Distribution, Ingest, Internet, Live Production, RIST, SRT, Transport
- Copyright
- © 2020 SMPTE
Bibliographic Reference(s)
- Video Services Forum (VSF) Technical Recommendation TR-06-1, “Reliable Internet Stream Transport (RIST) Protocol Future Work Future studies that did not fit into the scope of this paper are: ■■ Jitter characteristics: Study the jitter characteristics that the different implementations add. Ideally, the pattern of interpacket gaps on the input of the sender should be recreated exactly on the output of the receiver. ■■ End-to-end latency: Another interesting area to study is the full end-to-end latency; this study has considered the situation where each protocol has an identically sized latency buffer. ■■ Congestion control: This study has not attempted to push the protocols to the limit with regard to congestion control, which is something that should be explored further. ■■ Quality of experience: As suggested earlier, studying the quality of experience instead of pure packet drop statistics is also very important. A different way to present the data in a study such as this one, albeit a more workintensive method, could be to decide on an acceptable rate of residual packet drops and to attempt to determine the boundaries in line drop rate that allows the protocols to stay within that acceptable residual drop rate. That is, what are the worst conditions that each protocol can be subjected to and still perform acceptably. Additionally, the measurements could be presented in the form of errored seconds instead, that is, a count of the number of seconds that contain any dropped packets. It may be that for two implementations with the same residual drop rate, one of them has the loss more grouped and thus has fewer errored seconds, which may lead to fewer visible artifacts. ■■ High-bandwidth ARQ transport: With cloud being leveraged also for high-end workflows, performing similar benchmarks with much greater bandwidths, such as a 3 Gb/s JPEG-XS compressed ultrahigh-definition (UHD) signal, would be of interest. In addition, as bandwidths grow well into the multiple of 10 Gb/s range, there are also performance aspects when it comes to the platform itself. For example, from a CPU/memory perspective, is there a tradeoff between ARQ and FEC for pure execution purposes at these high speeds? Conclusion In the last year alone, retransmission technology has gained a lot of attention, driven by both initiatives such as the SRT Alliance and RIST, but also as a consequence of the industry starting to realize the importance of the technology as cloud starts to cement itself further as a key part of the broadcast workflow. The two major open alternatives in the market, RIST and SRT, all have backing from a large number of vendors and broadcasters. But this is in a market that is already a decade in the making in terms of proprietary solutions and ecosystems. Therefore, while RIST and SRT are technically good alternatives already today, the large proprietary ecosystems already in place are likely to exist for many years, while being augmented by these new challengers. EXTERNAL
- Video Services Forum (VSF) Technical Recommendation TR-06-2, “Reliable Internet Stream Transport (RIST) Protocol Specification – Main Profile,” 24 Mar. 2020. [Online]. Available: https://videoservicesforum.org/download/technical_recommen-dations/VSF_TR-06-2_2020_03_24.pdf EXTERNAL
- M. Sharabayko, M. Sharabayko, J. Dube, J. Kim, and J. Kim, “The SRT Protocol – Draft-Sharabayko-Mops-Srt-01,” 9 Sep. 2020. [Online]. Available: https://tools.ietf.org/html/draft-sharabayko-mops-srt-01 EXTERNAL
- “AWS Elemental MediaConnect Now Supports RIST Protocol,” 12 Sep. 2019. Accessed: 14 Sep. 2020. [Online]. Available: https://aws.amazon.com/about-aws/whats-new/2019/09/aws-elemental-mediaconnect-now-supports-rist-protocol/ EXTERNAL
- “Members – SRT Alliance,” Accessed: 24 Sep. 2020. [Online]. Available: https://www.srtalliance.org/members/ EXTERNAL
- H. Schulzrinne, S. Casner, R. Frederick, and V. Jacobson, “RFC 3550 – RTP: A Transport Protocol for Real-Time Applications,” 2003. [Online]. Available: https://tools.ietf.org/html/rfc3550 EXTERNAL
- “Members – RIST Forum,” Accessed: 24 Sep. 2020. [Online]. Available: https://www.rist.tv/members EXTERNAL
- SMPTE ST 2022-1 [Active]
- SMPTE ST 2022-7 [Active]
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Mikael Wånggren and Love Thyresson; Live Cloud Ingest Using Open Alternatives RIST & SRT, SMPTE Motion Imaging Journal ( Volume: 129, Issue: 10, 2020); SMPTE, 2020. Available at https://doi.org/10.5594/JMI.2020.3024519
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Mikael Wånggren and Love Thyresson; Live Cloud Ingest Using Open Alternatives RIST & SRT, SMPTE Motion Imaging Journal ( Volume: 129, Issue: 10, 2020); SMPTE, 2020. Available at https://doi.org/10.5594/JMI.2020.3024519
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Mikael Wånggren and Love Thyresson; Live Cloud Ingest Using Open Alternatives RIST & SRT, SMPTE Motion Imaging Journal ( Volume: 129, Issue: 10, 2020); SMPTE, 2020. Available at https://doi.org/10.5594/JMI.2020.3024519
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<span class="citation">Mikael Wånggren and Love Thyresson; <cite>Live Cloud Ingest Using Open Alternatives RIST & SRT</cite>, SMPTE Motion Imaging Journal ( Volume: 129, Issue: 10, 2020); SMPTE, 2020. Available at <a href="https://doi.org/10.5594/JMI.2020.3024519" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2020.3024519</a></span>
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Mikael Wånggren and Love Thyresson; Live Cloud Ingest Using Open Alternatives RIST & SRT, SMPTE Motion Imaging Journal ( Volume: 129, Issue: 10, 2020); SMPTE, 2020
doi: 10.5594/JMI.2020.3024519
url: https://doi.org/10.5594/JMI.2020.3024519
doi: 10.5594/JMI.2020.3024519
url: https://doi.org/10.5594/JMI.2020.3024519
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<li> Mikael Wånggren and Love Thyresson; <cite id="bib-10-5594-jmi-2020-3024519">Live Cloud Ingest Using Open Alternatives RIST & SRT</cite>, SMPTE Motion Imaging Journal ( Volume: 129, Issue: 10, 2020); SMPTE, 2020 <span class="doi">10.5594/JMI.2020.3024519</span> </li>