查询路由:系统思维在互联网搜索中的应用

Paul J Leach, C. Weider
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引用次数: 7

摘要

随着因特网继续呈指数级增长,查找所需信息变得更加困难。集中解决问题的方法可能无法应对这种增长,现有的分布式方法也不能很好地扩展,因此研究替代方案是明智的。另一种选择是“查询路由”,这种技术使用来自多个站点的压缩索引将查询“路由”到它们可能能够实现的地方。通过为客户端使用推荐模型,应该可以为客户端和服务器提供可扩展的服务。服务器扩展是通过沿着几个新轴的索引压缩来实现的。允许假阳性的产生允许使用具有更高压缩的技术。我们已经能够将分布式命名系统(如DNS)中的技术添加到基于平面属性值对集的传统索引中。我们已经实现了一个包含了其中几种技术的原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Query routing: applying systems thinking to Internet search
As the Internet continues to grow exponentially, locating desired information becomes more difficult. Centralized approaches to the problem may prove unable to cope with this growth, and existing distributed ones do not scale well either, so it would be wise to investigate alternatives. One alternative is 'query routing', a technology which uses compressed indices from multiple sites to 'route' queries to where they may be able to be fulfilled. By using a referral model for the clients, it should be possible to provide a service which scales for both clients and servers. Server scaling is achieved by index compression along several novel axes. Allowing the generation of false positives permits the use of techniques which have higher compression. We have been able to add techniques from distributed naming systems such as DNS to traditional indexing based on flat sets of attribute value pairs. We have implemented a prototype that incorporates several of these techniques.
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