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机构地区:[1]西北工业大学计算机科学学院,西安710072
出 处:《计算机科学》2010年第2期71-74,93,共5页Computer Science
基 金:国家自然科学基金(60573096)资助
摘 要:分布式结构化对等网络可以提供精确的资源发现,有着良好的可扩展性和自组织能力,成为对等计算研究的重点。但目前结构化对等计算的研究往往专注于如何提高路由效率,忽视了结构化算法存在的其他问题。提出了多节点集群P2P系统模型。系统中多个节点可以有相同的标识符,它们共同形成一个集群。集群中的节点管理相同的资源,从而可以有效避免节点突然失效造成的资源丢失。同时,资源的多个备份相互协作可以提高资源下载速度。本系统还采用自动搜集查询路径上的相关关键字的方法来实现模糊查询功能。模拟实验证明该方法是有效的。Distributed structured peer-to peer network can provide precise resource discovery and has a good scalability and self-organizing capabilities, so it has become the focus of the study. However, the research often focuses on how to improve routing efficiency and neglects of other serious problems. This paper proposed a multi-peers cluster P2P sys- tem. In the system,multiple peers could have same identifier. They form a cluster. All peers in a cluster save the same resource. So the resource was not lost even if one or more peers failed suddenly. The multiple copies of the resource could work together to effectively improve the download speed. Most of the structured peer-to-peer systems only pro- vide the precise key query. This system could automatically collect related keywords on the query route. Using this method, the fuzzy query could be implemented according to related keywords. Experimental resuhs show that this work is effective and efficient.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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