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Fully distributed R-tree for efficient range query dissemination in peer-to-peer spatial data grid

机译:完全分布式的R树,用于对等空间数据网格中的有效范围查询传播

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To make the diverse organizations access the massive distributed heterogeneous spatial data easily, we build a Spatial Data Grid in peer-to-peer way, which composed of several spatial datacenters distributed in different agencies, Given a query, which often a range query in spatial application, the query parser will decompose the global query into several sub-queries and disseminate them to the peers who take responsibility for storing data of that area. In order to accelerate the query dissemination process, we utilize distributed index to locate object more quickly and accurately. We propose an adaptive indexing mechanism, Fully Distributed R-Tree Index, which is appropriate for efficient range query dissemination. It composes of two layers, on top of which is the spatial range of each peer. The under layer stores part of the R-Tree of each peer's neighbors, which can be adjusted according to the capacity of peer. There is no centralized control on top of the entire system, and it could adaptive to the environment change.
机译:要使多样化的组织轻松访问大规模的分布式异构空间数据,我们以对等方式构建空间数据网格,其由分布在不同代理商的几个空间数据中心组成,给定查询,这通常是空间中的范围查询应用程序,查询解析器将全局查询分解为多个子查询,并将其传播给对对对象负责存储该区域的数据的对等体。为了加速查询传播过程,我们利用分布式索引更快,准确地定位对象。我们提出了一种自适应索引机制,完全分布式的R树索引,适用于有效的范围查询传播。它由两层组成,在其上面是每个对等体的空间范围。下图存储了每个对等体邻居的R树的一部分,可以根据对等体的容量进行调整。整个系统的顶部没有集中控制,它可以自适应环境变化。

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