Evaluation of CMAF in live streaming scenarios

Lyko, T. and Broadbent, M. and Race, N. and Nilsson, M. and Farrow, P. and Appleby, S. (2020) Evaluation of CMAF in live streaming scenarios. In: NOSSDAV '20: Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video. ACM, New York, pp. 21-26. ISBN 9781450379458

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Abstract

HTTP Adaptive Streaming (HAS) technologies such as MPEG DASH are now used extensively to deliver television services to large numbers of viewers. In HAS, the client requests segments of content using HTTP, with an ABR algorithm selecting the quality at which to request each segment to trade-off video quality with the avoidance of stalling. This introduces significant end to end latency compared to traditional broadcast, due to the the client requiring a large enough buffer for the ABR algorithm to react to changes in network conditions in a timely manner. The recently standardised Common Media Application Format (CMAF) has helped address the issue of latency by defining segments as composed of independently transferable chunks. In this paper, we describe a simulation model we have developed to evaluate the performance of four popular ABR algorithms using DASH and CMAF in various low latency live streaming scenarios. Realistic network conditions are used for the evaluation, which are based on throughput data taken from the CDN logs of a commercial live TV service. We quantify the performance of the ABR algorithms using a selection of QoE metrics, and show that CMAF can significantly improve ABR performance in low delay scenarios.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in NOSSDAV '20: Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video http://doi.acm.org/10.1145/3386290.3396932
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ID Code:
153335
Deposited By:
Deposited On:
30 Mar 2021 14:20
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jun 2021 11:01