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History-Pattern Implementation for Large-Scale Dynamic Multidimensional Datasets and Its Evaluations

机译:大规模动态多维数据集的历史模式实现及其评估

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In this paper, we present a novel encoding/decoding method for dynamic multidimensional datasets and its implementation scheme. Our method encodes an n-dimensional tuple into a pair of scalar values even if n is sufficiently large. The method also encodes and decodes tuples using only shift and and/or register instructions. One of the most serious problems in multidimensional array based tuple encoding is that the size of an encoded result may often exceed the machine word size for large-scale tuple sets. This problem is efficiently resolved in our scheme. We confirmed the advantages of our scheme by analytical and experimental evaluations. The experimental evaluations were conducted to compare our constructed prototype system with other systems; (1) a system based on a similar encoding scheme called history-offset encoding, and (2) PostgreSQL RDBMS. In most cases, both the storage and retrieval costs of our system significantly outperformed those of the other systems.
机译:在本文中,我们提出了一种用于动态多维数据集的新颖编码/解码方法及其实现方案。即使n足够大,我们的方法也将n维元组编码为一对标量值。该方法还使用仅移位和/或寄存器指令进行编码和解码元组。基于多维数组的元组编码中最严重的最严重问题是编码结果的大小通常可能超过大型元组集的机器字大小。在我们的计划中有效地解决了这个问题。我们通过分析和实验评估确认了我们的计划的优势。进行了实验评估,以将构造的原型系统与其他系统进行比较; (1)基于类似编码方案的系统,称为历史偏移编码,以及(2)PostgreSQL RDBMS。在大多数情况下,我们系统的存储和检索成本都显着优于其他系统的成本。

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