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An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC

机译:P2P网络中大规模多媒体内容分发的有效框架:I2NC

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摘要

Network coding (NC) makes content distribution more effective and easier in P2P content distribution network and reduces the burden of the original seeder. It generalizes traditional network routing by allowing the intermediate nodes to generate new coded packet by combining the received packets. The randomization introduced by network coding makes all packets equally important and resolves the problem of locating the rarest block. Further, it reduces traffic in the network. In this paper, we analyze the performance of traditional network coding in P2P content distribution network by using a mathematical model and it is proved that traffic reduction has not been fully achieved in P2P network using traditional network coding. It happens due to the redundant transmission of noninnovative information block among the peers in the network. Hence, we propose a new framework, called I2NC (intelligent-peer selection and incremental-network coding), to eliminate the unnecessary flooding of noninnovative coded packets and thereby to improve the performance of network coding in P2P content distribution further. A comparative study and analysis of the proposed system is made through various related implementations and the results show that 10–15% of traffic reduced and improved the average and maximum download time by reducing original seeder's workload.
机译:网络编码(NC)使内容分发在P2P内容分发网络中更有效,更容易,并减轻了原始播种者的负担。它通过允许中间节点通过合并接收到的数据包来生成新的编码数据包,从而对传统的网络路由进行了概括。网络编码引入的随机化使所有数据包同等重要,并解决了定位稀有块的问题。此外,它减少了网络中的流量。在本文中,我们使用数学模型分析了传统网络编码在P2P内容分发网络中的性能,并证明在使用传统网络编码的P2P网络中,流量的减少还没有完全实现。这是由于网络中对等点之间非创新性信息块的冗余传输而发生的。因此,我们提出了一种称为I2NC(智能对等选择和增量网络编码)的新框架,以消除不必要的非创新编码数据包泛滥,从而进一步提高P2P内容分发中网络编码的性能。通过各种相关的实施方案对提议的系统进行了比较研究和分析,结果表明,通过减少原始播种机的工作量,减少了10%至15%的流量,并改善了平均和最大下载时间。

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