DocumentCode
1994958
Title
Supporting VCR in Peer-to-Peer Video-On-Demand
Author
He, Yuan ; Liu, Yunhao
Author_Institution
Hong Kong Univ. of Sci. & Technol, Kowloon
fYear
2007
fDate
16-19 Oct. 2007
Firstpage
328
Lastpage
329
Abstract
Video-on-demand (VOD) is an interactive multimedia service, which delivers video content to subscribers (users). We propose a scheme of P2P VOD supporting VCR interactivities. By mining associations inside a video, the segments requested in VCR interactivities are accurately predicted based on the information collected through gossips. Together with a hybrid caching strategy, a collaborative prefetching scheme is proposed to optimize resource distribution among neighboring peers. We evaluate our scheme through extensive experiments. Results show that it is scalable and effective, providing short startup latencies and good performance in VCR interactivities.
Keywords
data mining; groupware; peer-to-peer computing; video on demand; video tape recorders; VCR; association rule mining; collaborative prefetching scheme; hybrid caching strategy; interactive multimedia; peer-to-peer video-on-demand; Association rules; Bandwidth; Data mining; Delay; Helium; Peer to peer computing; Prefetching; Streaming media; Video recording; Watches;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Protocols, 2007. ICNP 2007. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1588-5
Electronic_ISBN
978-1-4244-1588-5
Type
conf
DOI
10.1109/ICNP.2007.4375865
Filename
4375865
Link To Document