Stammdaten

Titel: Which CDN to Download From? A Client and Server Strategies
Untertitel:
Kurzfassung:

Content Delivery Networks (CDNs) has been evolved to enable different video streaming services to deliver media content over the Internet with less latency and improved quality. However, using only a single CDN is highly vulnerable to outages and crashes, resulting in a poor viewer experience. Regardless of viewers, traffic, or media content, a single CDN will be never sufficient to satisfy viewers' quality of experience (QoE) requirements. To avoid single CDN issues, leveraging multiple CDNs from multiple providers, refers to multi-CDN, helps in improving performance, increasing geographic coverage, and alleviating outages. An essential part in multi-CDN solutions is the decision to select the best performing CDN in real-time, depending on periodic measurements of CDNs and video players. While multi-CDN architecture provides tremendous benefits, it has not been well investigated and integrated with the industry. This paper highlights various decision strategies for real-time CDN selection that helps content providers select the right solution aligned with their goals and business.

Schlagworte: Adaptive Video Streaming, Multi-CDN, ABR, QoE, DASH, HLS
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 07.05.2023 (Print)
Erschienen in: MHV'23 Proceedings of the 2nd ACM Mile-High Video Conference 2023
MHV'23 Proceedings of the 2nd ACM Mile-High Video Conference 2023
zur Publikation
 ( ACM Digital Library; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 135 - 136

Versionen

Keine Version vorhanden
Erscheinungsdatum: 07.05.2023
ISBN:
  • 979-8-4007-0160-3
ISSN: -
Homepage: https://dl.acm.org/doi/10.1145/3588444.3591030
Erscheinungsdatum: 16.06.2023
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1145/3588444.3591030
Homepage: https://dl.acm.org/doi/10.1145/3588444.3591030
Open Access
  • Online verfügbar (nicht Open Access)

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
Concordia University
Kanada
CA  
National University of Singapore
21 Lower Kent Ridge Rd
119077 Singapur
Singapur
21 Lower Kent Ridge Rd
SG - 119077  Singapur

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