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Network-aware summarisation for resource discovery in P2P-content networks

机译:P2P内容网络中用于资源发现的网络感知汇总

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Many application scenarios have a read-dominated behaviour of information provision, which means that there are few updates, and that users execute frequent queries for information discovery. Discovery of content in such systems could benefit from the use of summary techniques in order to facilitate the discovery process and minimise the size of the data exchanged. This is particularly applicable within Grid computing environments where nodes (representing a group of computational and storage resources), which enable jobs to reach them may need to exchange metadata with each other about their resources. We introduce network-aware summarisation algorithms for the resource discovery in P2P-content networks, which are based on Cobweb clustering. We identify how summarisation can improve the discovery process while also improving the accuracy of the discovered resource(s). Metrics based on precision-recall are used to compare the accuracy for specific types of queries generated over the summarised content.
机译:许多应用程序场景具有信息提供的读取主导行为,这意味着更新很少,并且用户频繁执行查询以发现信息。在此类系统中发现内容可能会受益于摘要技术的使用,以促进发现过程并最小化交换数据的大小。这在网格计算环境中尤其适用,在网格计算环境中,使作业能够到达节点的节点(代表一组计算和存储资源)可能需要彼此交换有关其资源的元数据。我们介绍了基于网络的摘要算法,用于基于Cobweb群集的P2P内容网络中的资源发现。我们确定摘要如何可以改善发现过程,同时还可以提高发现资源的准确性。使用基于精确调用的指标来比较在摘要内容上生成的特定类型查询的准确性。

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