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A-Tree: Distributed Indexing of Multidimensional Data for Cloud Computing Environments

机译:一棵树:用于云计算环境的多维数据的分布式索引

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摘要

Efficient querying of huge volumes of multidimensional data stored in cloud computing systems has become a necessity, due to the widespread of cloud storage facilities. With clouds getting larger and available data growing larger and larger it is mandatory to develop fast, scalable and efficient indexing schemes. In this paper, we propose the A-tree, a distributed indexing scheme for multidimensional data capable of handling both point and range queries, appropriate for cloud computing environments. A performance evaluation of the A-tree against the state-of-the-art competitor attests its superiority, achieving significantly lower latencies.
机译:由于云存储设施的广泛普及,有效查询存储在云计算系统中的大量多维数据已成为一种必要。随着云越来越大,可用数据越来越大,必须开发快速,可伸缩和高效的索引方案。在本文中,我们提出了A树,一种适用于云计算环境的多维数据的分布式索引方案,能够处理点和范围查询。通过对A树的最新竞争对手的性能评估证明了它的优越性,从而显着降低了延迟。

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