Master data

Title: A Distributed Delivery Architecture for User Generated Content Live Streaming over HTTP
Subtitle:
Abstract:

Live User Generated Content (UGC) has become very popular in today’s video streaming applications, in particular with gaming and e-sport. However, streaming UGC presents unique challenges for video delivery. When dealing with the technical complexity of managing hundreds or thousands of concurrent streams that are geographically distributed, UGC systems are forces to made difficult trade-offs with video quality and latency. To bridge this gap, this paper presents a fully distributed architecture for UGC delivery over the Internet, termed QuaLA (joint Quality-Latency Architecture). The proposed architecture aims to jointly optimize video quality and latency for a better user experience and fairness. By using the proximal Jacobi alternating direction method of multipliers (ProxJ-ADMM) technique, QuaLA proposes a fully distributed mechanism to achieve an appropriate solution. We demonstrate the effectiveness of the proposed architecture through real-world experiments using the CloudLAB testbed. Experimental results show the outperformance of QuaLA in achieving high quality with more than 57% improvement while preserving a good level of fairness and respecting a given target latency among all clients compared to conventional client-driven solutions.

Keywords: UGC streaming, low latency live streaming, fairness, QoE, HAS, DASH, ABR, adaptive streaming, ADMM
Publication type: Article in Proceedings (Authorship)
Publication date: 04.10.2021 (Print)
Published by: LCN '21 Proceedings of the IEEE 46th Conference on Local Computer Networks
LCN '21 Proceedings of the IEEE 46th Conference on Local Computer Networks
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 162 - 169

Versionen

Keine Version vorhanden
Publication date: 07.09.2021
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/lcn52139.2021.9525027
Homepage: -
Open access
  • Available online (not open access)
Publication date: 04.10.2021
ISBN:
  • 978-1-6654-1886-7
  • 978-1-6654-4800-0
ISSN: 0742-1303
Homepage: https://ieeexplore.ieee.org/document/9525027

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Multimedia Communication

Cooperations

Organisation Address
National University of Singapore
21 Lower Kent Ridge Rd
119077 Singapur
Singapore
21 Lower Kent Ridge Rd
SG - 119077  Singapur

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