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The Research on a P2P Transcoding System Based on Distributed Farming Computing Architecture

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3 Author(s)
Can Yang ; Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China ; Yuanqiong Chen ; Yilong Shen

To solve the problem that the common podcast system based on traditional transcoding system costs much and is very difficult to support concurrent users, in the paper, a novel transcoding system based on distributed farming computing architecture was designed. It can save a great deal cost of hardware resource and improve its transcoding efficiency at the statement of large concurrent accesses. By the comparison of performance between the traditional transcoding system and the proposed in the paper with the simulation, it has been proved that the podcast system adopting the new transcoding method has so much good feature as higher ratio of cost and performance, shorter user waiting time and faster video accumulation speed.

Published in:

Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on

Date of Conference:

19-20 Dec. 2009