Neighbor selection method based on sending capacity for P2P live streaming with layer coding

Rei Endo, Kazuyuki Takayama, Yoshiki Sakata, Hiroshi Shigeno

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

Abstract

In P2P live streaming services, a video streaming data is divided into chunks and peers collect the chunks to watch the live video. Peers receive chunks from a video server or other peers, and also send chunks to other peers. Generally, a peer cannot communicate with all of other peers and a peer can communicate with only a part of peers, which is called neighbors. How to select the neighbors has a big impact on video qualities of peers, because peers have various sending capacities. In an existing neighbor selection method, a peer selects neighbors which sent many chunks to itself. However, when neighbors of a peer with high sending capacity are only peers with low sending capacity, the peer is not able to receive enough amount of chunks and gets worse video quality than an average quality of peers with high sending capacities. In this paper, we propose a neighbor selection method based on sending capacity to decrease a variance of video qualities and to increase a chunk receiving rate for peers with high capacities. Simulation results show that the proposed method decreases a variance of video qualities for peers whose sending capacities are equivalent.

Original languageEnglish
Pages264-271
Number of pages8
DOIs
Publication statusPublished - 2012 Nov 28
Event9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012 - Fukuoka, Japan
Duration: 2012 Sept 42012 Sept 7

Other

Other9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012
Country/TerritoryJapan
CityFukuoka
Period12/9/412/9/7

Keywords

  • Live streaming
  • Neighbor selection;
  • Peer-to-Peer(P2P)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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