Master data

Title: CDN and SDN Support and Player Interaction for HTTP Adaptive Video Streaming
Subtitle:
Abstract:

Video streaming has become one of the most prevailing, bandwidth-hungry, and latency-sensitive Internet applications. HTTP Adaptive Streaming (HAS) has become the dominant video delivery mechanism over the Internet. Lack of coordination among the clients and lack of awareness of the network in pure client-based adaptive video bitrate approaches have caused problems, such as sub-optimal data throughput from Content Delivery Network (CDN) or origin servers, high CDN costs, and non-satisfactory users' experience. Recent studies have shown that network-assisted HAS techniques by utilizing modern networking paradigms, e.g., Software Defined Networking (SDN), Network Function Virtualization(NFV), and edge computing can significantly improve HAS system performance. In this doctoral study, we leverage the aforementioned modern networking paradigms and design network-assistance for/by HAS clients to improve HAS systems performance and CDN/network utilization. We present four fundamental research questions to target different challenges in devising a network-assisted HAS system.

Keywords:
Publication type: Article in Proceedings (Authorship)
Publication date: 24.06.2021 (Print)
Published by: MMSys '21 Proceedings of the 12th ACM Multimedia Systems Conference
MMSys '21 Proceedings of the 12th ACM Multimedia Systems Conference
to publication
 ( ACM Digital Library; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 398 - 402

Versionen

Keine Version vorhanden
Publication date: 24.06.2021
ISBN: -
ISSN: -
Homepage: https://dl.acm.org/doi/abs/10.1145/3458305.3478464
Publication date: 22.09.2021
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1145/3458305.3478464
Homepage: -
Open access
  • Available online (not open access)

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: I)
Classification raster of the assigned organisational units:
working groups
  • Multimedia Communication

Cooperations

No partner organisations selected

Articles of the publication

No related publications