首页> 外文会议>33rd International Conference on Very Large Data Bases(VLDB 2007) >Self-Organizing Schema Mappings in the GridVine Peer Data Management System
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Self-Organizing Schema Mappings in the GridVine Peer Data Management System

机译:GridVine对等数据管理系统中的自组织架构映射

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GridVine is a Peer Data Management System based on a decentralized access structure. Built following the principle of data independence, it separates a logical layer - where data, schemas and mappings are managed - from a physical layer consisting of a structured Peer-to-Peer network supporting efficient routing of messages and index load-balancing. Our system is totally decentralized, yet it fosters semantic interoperability through pairwise schema mappings and query reformulation. In this demonstration, we present a set of algorithms to automatically organize the network of schema mappings. We concentrate on three key functionalities: (1) the sharing of data, schemas and schema mappings in the network, (2) the dynamic creation and deprecation of mappings to foster global interoperability, and (3) the propagation of queries using the mappings. We illustrate these functionalities using bioinformatic schemas and data in a network running on several hundreds of peers simultaneously.
机译:GridVine是基于分散访问结构的对等数据管理系统。它遵循数据独立性原则构建,将逻辑层(用于管理数据,方案和映射)与物理层分开,该物理层由结构化的对等网络组成,支持消息的高效路由和索引负载平衡。我们的系统是完全分散的,但是它通过成对模式映射和查询重新构造来促进语义互操作性。在此演示中,我们提出了一组算法来自动组织架构映射网络。我们专注于三个关键功能:(1)网络中数据,模式和模式映射的共享;(2)动态创建和弃用映射以促进全局互操作性;以及(3)使用映射的查询传播。我们使用生物信息模式和同时在数百个对等点上运行的网络中的数据来说明这些功能。

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