DocumentCode
511274
Title
The Design of P2P Streaming Media Transmission System Based on Neighborhood Optimum Selection
Author
Gefei, Feng ; Hui, Yang
Author_Institution
Sch. of Comput. Sci. & Technol., Xuzhou Normal Univ., Xuzhou, China
Volume
1
fYear
2009
fDate
25-27 Dec. 2009
Firstpage
319
Lastpage
322
Abstract
The Peer-to-Peer streaming media transmission technology has become a hot spot of computer research field. This paper introduces the architecture of P2P streaming media transmission system based on neighborhood optimum selection, studies acquisition and transmission of streaming media data and lays stress on the neighborhood optimum selection. Various heterogeneous media resources will be collected by two main data acquisition approaches, converted by format converter and partitioned by bits. It designs a neighborhood optimum selection algorithm which the neighborhood is managed by its connection status. This algorithm is helpful to the uniform management for the distributed and local peers. Then it designs the P2P streaming media transmission prototype system framework. Moreover, the experimental results have verified such a P2P streaming media transmission system, based on neighborhood optimum selection algorithm, is feasible and effective.
Keywords
computer network management; media streaming; peer-to-peer computing; P2P; data acquisition; heterogeneous media resources; media transmission system; neighborhood optimum selection algorithm; peer-to-peer streaming media; Application software; Bandwidth; Computer applications; Computer architecture; Computer science; Data acquisition; Network servers; Partitioning algorithms; Peer to peer computing; Streaming media; Peer-to-Peer streaming media transmission; connection quality evaluation; neighborhood management; neighborhood optimum selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location
Chongqing
Print_ISBN
978-0-7695-3930-0
Electronic_ISBN
978-1-4244-5423-5
Type
conf
DOI
10.1109/IFCSTA.2009.83
Filename
5385071
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