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On the optimization of content publishing and search in peer-to-peer network - a location aware approach

机译:关于对等网络中内容发布和搜索的优化-一种位置感知方法

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With network pipes growing fatter, peer to peer systems are fast emerging as a viable alternative to the client-server model. One of the major problems in P2P networks is the efficient and fast content distribution and search. In this paper we investigate the problem of replicating content information among the peer nodes in a scalable manner using coordinate based placement such that an automatic identification of near by replica locator nodes is possible to improve the search latency when finding content sources. We also investigate the use of social groups as content information aggregators to facilitate faster and more accurate search. We try to improve the overall accessibility of content in the network by hierarchically distributing the content information. We show by way of simulation the improvement in performance of content location using the above methods.
机译:随着网络管道的增长,对等系统正在迅速崛起,成为客户端-服务器模型的可行替代方案。 P2P网络中的主要问题之一是高效,快速的内容分发和搜索。在本文中,我们研究了使用基于坐标的放置以可伸缩的方式在对等节点之间复制内容信息的问题,从而使复制定位器节点自动识别近端可以改善查找内容源时的搜索延迟。我们还调查了社交团体作为内容信息聚合者的使用,以促进更快,更准确的搜索。我们试图通过分层分发内容信息来改善网络中内容的整体可访问性。通过仿真,我们展示了使用上述方法改善内容定位性能的方法。

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