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Text-Based P2P Content Search Using a Hierarchical Architecture

机译:使用分层体系结构的基于文本的P2P内容搜索

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摘要

As a scalable alternative to traditional server-based architecture, peer-to-peer (P2P) computing has become a popular distributed computing paradigm. However, efficient content search is absent, which hinders the wider deployment of the peer-to-peer systems. Earlier peer-to-peer systems such as Napster and Gnutella suffer from unscalability. Structured peer-to-peer networks achieve good scalability and high reliability, and yet they can only support a single-key based lookup instead of content search by means of DHTs (Distributed Hash Tables). In this paper, we propose a text-based peer-to-peer content search solution, which uses a hierarchical architecture. The heterogeneity of the popularity of terms both in documents and queries and the heterogeneity of hosts are both examined herein. There some techniques are employed to cope with the troubles arising from these heterogeneities. The experimental results show that the solution is feasible and efficient.
机译:作为对传统的基于服务器的体系结构的可扩展替代,对等(P2P)计算已成为流行的分布式计算范例。但是,缺少有效的内容搜索,这阻碍了对等系统的更广泛部署。诸如Napster和Gnutella之类的早期对等系统遭受不可扩展性的困扰。结构化对等网络具有良好的可伸缩性和高可靠性,但是它们仅支持基于单键的查找,而不能通过DHT(分布式哈希表)进行内容搜索。在本文中,我们提出了一种基于文本的点对点内容搜索解决方案,该解决方案使用了层次结构。本文同时检查了文档和查询中术语流行度的异质性和宿主的异质性。那里采用了一些技术来应对由这些异质性引起的麻烦。实验结果表明该方案是可行和有效的。

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