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引用次数: 270

摘要

点对点系统可以访问分布在大量机器上的数据。大多数P2P系统只支持简单的查找查询。然而,许多新的应用程序,如P2P照片共享和大型多人游戏,将从对多维范围查询的支持中受益匪浅。我们展示了如何在P2P系统中通过将传统的空间数据库技术与新颖的P2P路由网络和负载平衡算法相适应来支持此类查询。我们展示了如何适应两种流行的空间数据库解决方案——kd树和空间填充曲线——并通过实验比较了它们的有效性。
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One torus to rule them all: multi-dimensional queries in P2P systems
Peer-to-peer systems enable access to data spread over an extremely large number of machines. Most P2P systems support only simple lookup queries. However, many new applications, such as P2P photo sharing and massively multi-player games, would benefit greatly from support for multidimensional range queries. We show how such queries may be supported in a P2P system by adapting traditional spatial-database technologies with novel P2P routing networks and load-balancing algorithms. We show how to adapt two popular spatial-database solutions - kd-trees and space-filling curves - and experimentally compare their effectiveness.
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