Streaming Face-Off: A Testbed Analysis of Media-over-QUIC and Low-Latency DASH

Recent years have observed a drastic improvement in video streaming. However, there are still non-trivial open issues that need to be solved, including latency and throughput estimation. A common approach is Low-Latency Dynamic Adaptive Streaming over HTTP (LL-DASH) that utilises Common Media Application Format (CMAF) to reduce the latency. Currently, a new solution is being developed by the Internet Engineering Task Force (IETF) that leverages QUIC protocol, called Meida-over-QUIC (MoQ) Transport. MoQ Transport is supposed to achieve even lower latency for large-scale systems. In this paper, we present a testbed to compare the performance of the up-to-date version of MoQ Transport and LL-DASH under various network conditions.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1145/3712676.3719264
Citations
1
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
1.28
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Streaming Face-Off: A Testbed Analysis of Media-over-QUIC and Low-Latency DASH

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Streaming Face-Off: A Testbed Analysis of Media-over-QUIC and Low-Latency DASH

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article en
1 citations

Abstract

Recent years have observed a drastic improvement in video streaming. However, there are still non-trivial open issues that need to be solved, including latency and throughput estimation. A common approach is Low-Latency Dynamic Adaptive Streaming over HTTP (LL-DASH) that utilises Common Media Application Format (CMAF) to reduce the latency. Currently, a new solution is being developed by the Internet Engineering Task Force (IETF) that leverages QUIC protocol, called Meida-over-QUIC (MoQ) Transport. MoQ Transport is supposed to achieve even lower latency for large-scale systems. In this paper, we present a testbed to compare the performance of the up-to-date version of MoQ Transport and LL-DASH under various network conditions.

Fraunhofer Institute for Open Communication Systems (DE)
Openalex Percentile: Top 22%
Image and Video Quality Assessment
1.28
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