Stammdaten

Titel: A Distributed Delivery Architecture for User Generated Content Live Streaming over HTTP
Untertitel:
Kurzfassung:

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.

Schlagworte: UGC streaming, low latency live streaming, fairness, QoE, HAS, DASH, ABR, adaptive streaming, ADMM
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 04.10.2021 (Print)
Erschienen in: LCN '21 Proceedings of the IEEE 46th Conference on Local Computer Networks
LCN '21 Proceedings of the IEEE 46th Conference on Local Computer Networks
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 162 - 169

Versionen

Keine Version vorhanden
Erscheinungsdatum: 07.09.2021
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/lcn52139.2021.9525027
Homepage: -
Open Access
  • Online verfügbar (nicht Open Access)
Erscheinungsdatum: 04.10.2021
ISBN:
  • 978-1-6654-1886-7
  • 978-1-6654-4800-0
ISSN: 0742-1303
Homepage: https://ieeexplore.ieee.org/document/9525027

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Multimedia Communication

Kooperationen

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

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