Optimization of prefetching in peer-to-peer video on demand systems

dc.contributor.authorBafna, P.
dc.contributor.authorAnnappa, B.
dc.date.accessioned2020-03-30T10:22:32Z
dc.date.available2020-03-30T10:22:32Z
dc.date.issued2011
dc.description.abstractIn Peer-to-Peer Video on Demand System like Video Cassette Recording (VCR) various operations (i.e. forward, backward, resume) are found to be used very frequently. The uncertainty of frequent VCR operations makes it difficult to provide services like play as download. To address this problem, there exist algorithms like random prefetching, distributed prefetching, etc. But each such algorithm has its own advantage and disadvantages. So to overcome the problem of prefetching we propose optimize prefetching for Peer-to-Peer(P2P) Video on Demand systems.The simulation result proves that the proposed prefetching algorithm significantly reduces the seeking delay as compared with the random prefetching scheme. � 2011 Springer-Verlag.en_US
dc.identifier.citationCommunications in Computer and Information Science, 2011, Vol.197 CCIS, , pp.100-106en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/8660
dc.titleOptimization of prefetching in peer-to-peer video on demand systemsen_US
dc.typeBook chapteren_US

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