Please use this identifier to cite or link to this item: doi:10.22028/D291-37858
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Title: Towards reduced latency in adaptive live streaming
Author(s): Shuai, Yongtao
Herfet, Thorsten
Language: English
Title: 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Pages: 1-4
Publisher/Platform: IEEE
Year of Publication: 2018
Place of publication: Piscataway, NJ
Place of the conference: Las Vegas, NV, USA
Free key words: Internet Video
Dynamic Adaptive Streaming over HTTP (DASH)
Low Latency Streaming
Bitrate Adaptation
DDC notations: 004 Computer science, internet
621.3 Electrical engineering, electronics
Publikation type: Conference Paper
Abstract: Adaptive video streaming is today's predominant video delivery model in the Internet. However, existing bitrate adaptation schemes exhibit a latency of several tens of seconds. This latency is mainly determined by the buffering delay, which aims at absorbing the instantaneous mismatches between the network throughput and the video bitrate. A lot of research focuses on the adaptation algorithms, few researchers, however, address the achievable lower bound of the latency. Our paper fills this gap by deriving an approximation of the lower bound for the buffering delay. In this study, we analyze the main contributors to the latency and develop a mathematical model for the process of adaptive live streaming. Then, we present the required buffering delay given characteristics of a network (e. g., throughput and delay). This provides us with guidelines to determine a reasonable low latency for streaming systems. We validate the approximation under a trace-driven simulation of a mobile network in the context of video streaming. Results show that our approximation approaches to the theoretical minimum on average.
DOI of the first publication: 10.1109/CCNC.2018.8319262
Link to this record: urn:nbn:de:bsz:291--ds-378587
hdl:20.500.11880/34240
http://dx.doi.org/10.22028/D291-37858
ISBN: 978-1-5386-4790-5
978-1-5386-4791-2 (ISBN der Printausgabe)
Date of registration: 7-Nov-2022
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Thorsten Herfet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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