云计算环境下分布式多维数据索引策略的面板数据融合

Wei Li
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引用次数: 0

摘要

针对云计算环境下分布式存储系统的数据索引不支持复杂查询的问题,提出了一种多维数据索引机制M-Index,该机制采用金字塔技术将数据的多维元数据描述为一维索引。这是第一次在这个基础上。提出了前缀二叉树的概念,提取一维索引和PBT有效节点的前缀作为存储系统中数据的主键。提出了一种新的基于UB树的多维云数据索引方案:cloud UB。该方案首先利用Z曲线对多维空间进行降维,然后沿Z曲线将多维空间划分为Z个区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Panel Data Fusion of Distributed Multi-Dimensional Data Index Strategy in Cloud Computing Environment
Aiming at the problem that the data index of the distributed storage system in the cloud computing environment does not support complex queries, a multi-dimensional data indexing mechanism, M-Index, is proposed, which uses pyramid technology to describe the multi-dimensional metadata of the data as a one-dimensional index. This is the first time on this basis. The concept of prefix binary tree is proposed, and one-dimensional index and the prefix of PBT effective node are extracted as the primary key of data in the storage system. This paper proposes a new multi-dimensional cloud data indexing scheme based on UB tree: Cloud UB. This scheme first uses the Z curve to reduce the dimensionality of the multi-dimensional space, and then divides the multi-dimensional space into Z regions along the Z curve.
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