分类法缓存:点对点系统中远程内容索引的可伸缩低成本机制

K. Nørvåg, C. Doulkeridis, M. Vazirgiannis
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引用次数: 4

摘要

高存储容量和对无线互联网的支持现在在越来越多的移动设备中可用。这些设备可以连接在P2P网络中,从而与参与网络的其他用户共享资源(可以是文件和服务)。一个重要的挑战是启用查找存储在其他设备上的相关资源的功能。在本文中,我们提出了一种改进P2P搜索的方法,该方法特别适用于带宽有限的连接,例如便携式设备。对等点的内容由分类法术语表示,远程对等点维护的是分类法概述,而不是远程对等点内容的详细索引信息。我们通过模拟表明,我们的方法虽然实现了与基本泛洪相当的召回,但显著减少了1)执行查询所需的消息数量和2)查询期间必须联系的对等节点数量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taxonomy Caching: A Scalable Low-CostMechanism for Indexing Remote Contents in Peer-to-Peer Systems
High storage capacity and support for wireless Internet is now available in an increasingly higher number of mobile devices. These devices can be connected in a P2P network, thus enabling sharing of resources (which can be both files and services) with other users participating in the network. An important challenge is to enable capabilities for finding relevant resources stored at other devices. In this paper, we present an approach to improve P2P search that is particularly suitable for connections with limited bandwidth, as in the case of portable devices. The contents of a peer are represented by taxonomy terms, and remote peers maintain a taxonomy overview instead of detailed indexing information of remote peers' contents. We show through simulations that our approach, while achieving comparable recall compared to basic flooding, significantly reduces 1) the number of messages needed for performing a query and 2) the number of peers that have to be contacted during the query
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