Efficient search in P2P-based video-on-demand streaming service

被引:1
|
作者
Chi, Huicheng [1 ]
Zhang, Qian [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
关键词
D O I
10.1109/ICME.2006.262471
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Providing video-on-demand streaming service to a large population of clients using peer-to-peer approach is drawing great interest recently. Since clients' demands are asynchronous and the buffered contents are continuously changing, how to find partners with expected data and collaborate with each other for future content delivery are very important and challenging. In this paper, we propose a generic buffer-assisted search (BAS) scheme to improve partner search efficiency. Extensive simulation results demonstrate that BAS can provide faster response time with less control cost than the existing search methods.
引用
收藏
页码:565 / +
页数:2
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