Multi-Dimensional Indexing System Considering Distributions of Sub-indexes and Data

Kazuto Nakanishi, T. Hochin, Hiroki Nomiya, Hiroaki Hirata
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Abstract

The development of information technology and personal computers enable us to get various multimedia data. In order to retrieve these data quickly, it is necessary to construct a multi-dimensional index including the R-tree family [1–3]. However, when the index becomes large, insertion time and retrieval time become long. The previous researches of the parallel multi-dimensional index have tried to improve the retrieval performance, although these does not consider the insertion performance [3–7]. When we must store multimedia data continuously, it is required to construct a multi-dimensional index within a limited time.
考虑子索引和数据分布的多维索引系统
信息技术和个人计算机的发展使我们能够获得各种多媒体数据。为了快速检索这些数据,需要构建包含R-tree族的多维索引[1-3]。但是,当索引变大时,插入时间和检索时间就会变长。以往的并行多维索引研究都试图提高检索性能,但没有考虑插入性能[3-7]。当需要对多媒体数据进行连续存储时,需要在有限的时间内构建多维索引。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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