点对点信息检索的体系结构

I. Klampanos, J. Jose
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引用次数: 14

摘要

P2P网络是现代计算领域中发展最为迅速的领域之一。通过利用指数级增长的互联网节点(用户)以及强大的家庭计算机系统和移动设备,P2P模式试图创建最多样化的功能性质的开放和协作网络。在本研究中,我们提出了一种基于聚类的大型半协作P2P网络IR架构。我们所说的“半协作”是指这样的网络,尽管对等体必须协作以实现整体有效性,但它们不必与网络的其余部分共享任何专有信息,也不必与它们使用的IR系统保持一致。此外,我们通过依赖两个基本假设(在3.1节中介绍)来推断开放P2P网络中集群的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An architecture for peer-to-peer information retrieval
P2P networking is one of the most rapidly developing areas of modern computing. By the utilisation of the exponentially increasing Internet nodes (users) as well as the ever powerful home computer systems and mobile devices, the P2P paradigm attempts to create open and collaborative networks of the most diverse functionality nature. In this study we propose an architecture for IR over large semi-collaborating P2P networks based on clustering. By the term “semi-collaborating” we mean networks where, although peers have to collaborate in order to achieve overall effectiveness, they do not have to share any proprietary information with the rest of the network, nor do they have to be consistent with respect to the IR systems they use. Also, we reason toward the usefulness of clustering in open P2P networks by relying on two basic assumptions (introduced in Section 3.1).
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