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

被引：1
|
作者：
Yang, Can [1 ]
Chen, Yuanqiong [1 ]
Shen, Yilong [1 ]
机构：
[1] S China Univ Technol, Guangzhou, Guangdong, Peoples R China
来源：
2009 PACIFIC-ASIA CONFERENCE ON KNOWLEDGE ENGINEERING AND SOFTWARE ENGINEERING, PROCEEDINGS | 2009年
关键词：
Peer to Peer; podcast; distributed computing; farming computing; video transcoding;
D O I：
10.1109/KESE.2009.23
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：55 / 58
页数：4
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