用于部分空间副本选择的Globus Toolkit r树

Yun Tian, P. J. Rhodes
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引用次数: 6

摘要

部分副本已被用于并行访问地理上分布式机器上的大型空间数据集区域,从而节省网络带宽并提高数据可用性。在本文中,我们提出了Globus Toolkit R-tree (GTR-tree)来使用Globus Toolkit Replica Location Service (RLS)中间件有效地选择部分副本。首先,分析了Globus RLS服务对空间数据的固有限制,激发了gtr树在解决部分副本选择问题中的作用。然后,我们描述了在未修改的Globus RLS之上的r树数据结构的实现。R-tree是空间计算的重要数据结构,可以显著提高性能。我们的性能结果和评估表明,与普通RLS相比,空间副本选择有了巨大的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Globus Toolkit R-tree for partial spatial replica selection
Partial Replicas have been used to parallelize access to regions of large spatial data sets on geographically distributed machines, saving network bandwidth and improving data availability. In this paper, we present the Globus Toolkit R-tree, (GTR-tree) to efficiently select partial replicas using the Globus Toolkit Replica Location Service (RLS) middleware. First, the limitations inherent in the Globus RLS service for spatial data are analyzed, motivating the usefulness of the GTR-tree for solving the partial replica selection problem. We then describe our implementation of the R-tree data structure on top of an unmodified Globus RLS. The R-tree is an important data structure for spatial computation, and results in very significant performance gains. Our performance results and evaluation demonstrate enormous improvements for spatial replica selection over a plain RLS.
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