| Resource Search in Unstructured Peer-to-Peer System Based on Multiple-Tree Overlay Structure |
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| 作者姓名： | YU Jianqiao LIAO Jianwei |
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| 作者单位： | College of Computer and Information Science, Southwest University, Chongqing 400715, China |
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| 基金项目： | Supported by the National High Technology Research and Development Program of China （2006AA10Z1E6） |
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| 摘 要： | We propose a multiple-tree overlay structure for resource discovery in unstructured P2P systems. Peers that have similar interests or hold similar type of resources will be grouped into a tree-like cluster. We exploit the heterogeneity of peers in each cluster by connecting peers with more capacities closer to the root of the tree. The capacity of a peer can be defined in different ways （e.g. higher network bandwidth, larger disk space, more data items of a certain type etc.） according to different needs of users or applications.
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| 关 键 词： | P2P系统 树型聚类 资源搜索 互联网 |
| 文章编号： | 1007-1202（2007）05-0887-06 |
| 收稿时间： | 10 January 2007 |
| 修稿时间： | 2007-01-10 |
Resource search in unstructured peer-to-peer system based on multiple-tree overlay structure |
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| YU Jianqiao LIAO Jianwei.Resource Search in Unstructured Peer-to-Peer System Based on Multiple-Tree Overlay Structure[J].Wuhan University Journal of Natural Sciences,2007,12(5):887-892. |
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| Authors: | Yu Jianqiao Liao Jianwei |
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| Institution: | (1) College of Computer and Information Science, Southwest University, Chongqing, 400715, China |
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| Abstract: | We propose a multiple-tree overlay structure for resource discovery in unstructured P2P systems. Peers that have similar interests
or hold similar type of resources will be grouped into a tree-like cluster. We exploit the heterogeneity of peers in each
cluster by connecting peers with more capacities closer to the root of the tree. The capacity of a peer can be defined in
different ways (e.g. higher network bandwidth, larger disk space, more data items of a certain type etc.) according to different
needs of users or applications.
Biography: YU Jianqiao (1957–), male, Professor, research direction: database, information retrieval, artificial intelligence |
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| Keywords: | unstructured P2P system tree-like cluster similar interest |
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