Title :
Supporting VCR in Peer-to-Peer Video-On-Demand
Author :
He, Yuan ; Liu, Yunhao
Author_Institution :
Hong Kong Univ. of Sci. & Technol, Kowloon
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;
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
DOI :
10.1109/ICNP.2007.4375865
