多维在线分析处理的有效实现方案

N. Easmin, K. Hasan, N. Parvin
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引用次数: 1

摘要

多维在线分析处理(MOLAP)处理已经存储在多维数组中的数据,其中反映了所有可能的数据组合。它采用多维数组作为基本的数据结构。本文的目的是开发一个基于扩展卡诺图表示(EKMR)方案的MOLAP模型并对其进行评估。EKMR方案的基本思想是用一组二维数组来表示多维数组。如果下标元组是已知的,这将减少从二级存储访问数据的时间。通过充分的分析和实验结果,证明了该方案相对于传统多维阵列的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient implementation scheme for multidimensional online analytical processing
Multidimensional online analytical processing (MOLAP) processes data that is already stored in a multidimensional array in which all possible combinations of data are reflected. It employs multidimensional array as their basic data structure. The intent of this paper is to develop a MOLAP model based on the scheme called extended Karnaugh map representation (EKMR) and evaluate it. The basic idea of EKMR scheme is to present multidimensional array by a set of two dimensional arrays. This reduces data access time from secondary storage if the tupple of subscripts are known. Effectiveness of this scheme over traditional multidimensional array is shown with sufficient analysis and experimental results.
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