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  4. FrameTrace: frame-level telemetry for media over QUIC
 
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FrameTrace: frame-level telemetry for media over QUIC

Publikationstyp
Conference Paper
Date Issued
2025-09-08
Sprache
English
Author(s)
Denizer, Birkan  
Winkel, Lasse  
Landsiedel, Olaf  
Networked Cyber-Physical Systems E-17  
TORE-URI
https://hdl.handle.net/11420/58330
Start Page
31
End Page
36
Citation
3rd Workshop on LEO Networking and Communication, LEO-NET 2025
Contribution to Conference
3rd Workshop on LEO Networking and Communication, LEO-NET 2025  
Publisher DOI
10.1145/3746441.3748231
Scopus ID
2-s2.0-105018055442
Publisher
Association for Computing Machinery
ISBN
979-8-4007-2090-1
Live-streaming and remote control applications increasingly demand low end-to-end latency. Yet, evaluation tools of today give only connection-level or segment-level metrics. Coarse telemetry obscures the distinction between stalls experienced during encoding, propagation, and rendering, thereby concealing system bottlenecks. For example, under lossy conditions, long Group-of-Pictures (GoP) sizes increase stall duration as delayed I-frames block decoding of dependent frames. Prior studies of Media over QUIC (MoQ) use average segment times or logs from video players, leaving the frame-level latency and quality trade-off largely unexplored. In this paper, we introduce FrameTrace, a frame-level logger for analyzing Quality of Experience telemetry. Using FrameTrace, we demonstrate that MoQ itself cuts latency by 83% and 63% at 5% packet loss and 10 Mbps bandwidth limitation, respectively, compared to Low-Latency DASH (LL-DASH). As a case study, we investigate how dynamically adapting GoP size changes stall duration and perceived quality. A shorter GoP size improves the VMAF score by up to 30% compared to a longer one. Driven by FrameTrace, our lightweight real-time GoP adaptation controller reduces latency by an additional 10% while increasing VMAF by 3.65%.
Subjects
DASH
frame-level telemetry
MoQ
real-time GoP adaptation
DDC Class
600: Technology
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