Master data

Title: RICHTER: hybrid P2P-CDN architecture for low latency live video streaming
Subtitle:
Abstract:

Content Distribution Networks (CDN) and HTTP Adaptive Streaming (HAS) are considered the principal video delivery technologies over the Internet. Despite the wide usage of these technologies, designing cost-effective, scalable, and flexible architectures that support low latency and high quality live video streaming is still a challenge. To address this issue, we leverage existing works that have combined the characteristics of Peer-to-Peer (P2P) networks and CDN-based systems and introduce a hybrid CDN-P2P live streaming architecture. When dealing with the technical complexity of managing hundreds or thousands of concurrent streams, such hybrid systems can provide low latency and high quality streams by enabling the delivery architecture to switch between the CDN and the P2P modes. However, modern networking paradigms such as Edge Computing, Network Function Virtualization (NFV), and distributed video transcoding have not been extensively employed to design hybrid P2P-CDN streaming systems. To bridge the aforementioned gaps, we introduce a hybRId P2P-CDN arcHiTecture for low LatEncy live video stReaming (RICHTER), discuss the details of its design, and finally give a few directions of the future work.

Keywords: dge Computing, Network Function Virtualization (NFV), Peer-to-Peer (P2P), Content Distriburion Network (CDN), Hybrid CDN-P2P, Video Transcoding, HTTP Adaptive Video Streaming (HAS), Live Video Streaming, Low Latency
Publication type: Article in Proceedings (Authorship)
Publication date: 17.03.2022 (Online)
Published by: MHV'22 Proceedings of the 1st Mile-High Video Conference
MHV'22 Proceedings of the 1st Mile-High Video Conference
to publication
 ( ACM New York; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 87 - 88

Versionen

Keine Version vorhanden
Publication date: 17.03.2022
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1145/3510450.3517290
Homepage: https://dl.acm.org/doi/10.1145/3510450.3517290
Open access
  • Available online (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: 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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