Centralized P2P Streaming with MDC

Author

Lee, Ivan ; He, Yifeng ; Guan, Ling

Author_Institution

Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont.

fYear

2005

fDate

Oct. 30 2005-Nov. 2 2005

Firstpage

1

Lastpage

4

Abstract

Peer-to-peer networking technique represents a vast potential to overcome many constraints in the conventional content distribution networks. In this paper, we propose centralized peer-to-peer (P2P) video streaming with multiple-description coding. Centralized P2P streaming with single and multiple forwarding peers are studied in this paper. We compare between the network loads at the bottleneck link of the client/server framework and that of the proposed framework. The reconstructed video qualities are evaluated in several experiments. We also analyze the frame dropout rates for the proposed system

Keywords

image reconstruction; peer-to-peer computing; video coding; video streaming; MDC; centralized P2P video streaming; frame dropout rate; multiple-description coding; peer-to-peer networking technique; video quality reconstruction; Decoding; Degradation; Disruption tolerant networking; Helium; Intelligent networks; Network servers; Peer to peer computing; Streaming media; Throughput; Video on demand;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 2005 IEEE 7th Workshop on

Conference_Location

Shanghai

Print_ISBN

0-7803-9288-4

Electronic_ISBN

0-7803-9289-2

Type

conf

DOI

10.1109/MMSP.2005.248598

Filename

4014019