Parallel Indexing Scheme for Data Intensive Applications

K. Funaki, T. Hochin, Hiroki Nomiya, H. Nakanishi, M. Kojima
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引用次数: 6

Abstract

This paper proposes a parallel indexing scheme of a large amount of data in order to resolve the issues about time limitation. Three kinds of computing-nodes are introduced. These are reception-nodes, representative-nodes, and normalnodes. A reception-node receives data for insertion. A representative-node receives queries. Normal-nodes retrieve data from indexes. Here, three kinds of indexes are introduced. These are a whole-index, a partial-index, and a reception-index. In a partial-index, data are stored. In a whole-index, partial-indexes are stored as its data. In a reception-index, additional data are stored. The reception-index is moved to a normal-node, and becomes a partial-index. The proposed scheme is also a data distribution scheme for shortening the insertion time. A reception-node accepts additional data even if the index is already built.
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数据密集型应用的并行索引方案
为了解决时间限制的问题,本文提出了一种海量数据的并行索引方案。介绍了三种计算节点。它们是接收节点、代表节点和正常节点。接收节点接收插入数据。代表性节点接收查询。正常节点从索引中检索数据。这里介绍了三种指标。它们是整体指数、部分指数和接收指数。在部分索引中存储数据。在全索引中,部分索引作为数据存储。在接收索引中,存储额外的数据。接收索引被移动到正常节点,并成为部分索引。该方案也是一种缩短插入时间的数据分发方案。接收节点接受额外的数据,即使已经构建了索引。
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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