On the performance boost for peer to peer WebRTC-based video streaming with network coding

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Patrik J. Braun - , Technische und Wirtschaftswissenschaftliche Universität Budapest (Autor:in)
  • Marton Sipos - , Technische und Wirtschaftswissenschaftliche Universität Budapest (Autor:in)
  • Peter Ekler - , Technische und Wirtschaftswissenschaftliche Universität Budapest (Autor:in)
  • Frank H.P. Fitzek - , Deutsche Telekom Professur für Kommunikationsnetze (Autor:in)

Abstract

Video on Demand (VoD) streaming makes up an increasing portion of global IP traffic. Traditionally, data is served by content providers directly, putting a huge network load on the servers. We propose using our WebRTC-based protocols WebPeer and CodedWebPeer to create a P2P-assisted VoD streaming system with network coding. We introduce two metrics: network health to measure overall data saturation and network stability to show if the peers in the network are able to serve each other without the help of the server. We have implemented a testbed to emulate real-life network scenarios that includes a probabilistic model of peer behavior. We show through measurements that by applying network coding, network health is increased by up to 100% without changing the cache size or number of peers. Furthermore, network stability is achieved using up to half the cache compared to the uncoded approach, without increasing the servers load. Finally, to validate the scalability of our solution, we tested our protocols in a network with more than 100 tablets to deliver smooth video playback.

Details

OriginalspracheEnglisch
Titel2017 IEEE International Conference on Communications, ICC 2017
Redakteure/-innenMerouane Debbah, David Gesbert, Abdelhamid Mellouk
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781467389990
PublikationsstatusVeröffentlicht - 28 Juli 2017
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE International Conference on Communications (ICC)
ISSN1550-3607

Konferenz

Titel2017 IEEE International Conference on Communications, ICC 2017
Dauer21 - 25 Mai 2017
StadtParis
LandFrankreich

Externe IDs

ORCID /0000-0001-8469-9573/work/161891274