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Outliers Based Caching of Data Segment with Synchronization over Video-on Demand using P2P Computing

机译:基于异常值基于数据段的缓存,使用P2P计算通过视频点播同步

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Nowadays live streaming plays an important role in various field of real time processing like education, research etc. The videos are maintained at the server then the clients may access the videos from the server may leads the performance problem. So the videos are downloaded by the clients and send it to the requesting clients. The mesh network is suitable for the live streaming because there is no master/slave relationship among the clients and in P2P (Peer-to-Peer) live streaming, each peer holds the video segment for satisfying the needs of the requesting peer. If the cache is full the data segments are replaced by using various replacement algorithms. These algorithms are mainly used in the data segment at the head part of the cache. The tail part of the data segments are never used to satisfy the peers even though it is a relevant data segments. The proposed work mainly focuses on the data segment of the tail part for live streaming is called outliers. The tail part of the cache is synchronized with the other neighboring peers with the help of the segment table. This segment table has to maintain each peer to overcome the unavailability of the data segment at the peers. There is various tag formats are proposed for representing the tail part of the cache. In future the performance will be improved in maximum level.
机译:如今,现场流媒体在教育,研究等等实时处理领域起着重要作用。视频在服务器上维护,那么客户端可以从服务器访问视频可能会导致性能问题。因此,客户端下载视频并将其发送到请求客户端。网状网络适合于实时流式传输,因为客户端中没有主/从关系,并且在P2P(对等)的直播中,每​​个对等体保持视频段以满足请求对等体的需求。如果高速缓存已满,则使用各种替换算法替换数据段。这些算法主要用于缓存的头部部分的数据段中。即使它是相关的数据段,数据段的尾部也不会用于满足对等体。所提出的工作主要关注实时流式尾部的数据段被称为异常值。缓存的尾部与段表的帮助与其他相邻对等体同步。该段表必须维护每个对等体以克服对等体的数据段的不可用。提出了代表高速缓存的尾部的标签格式。未来,最大水平将提高性能。

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