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A regression approach to performance analysis for the Differential File Architecture

机译:差异文件体系结构性能分析的回归方法

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The Differential File Architecture (DFA) has been previously proposed as a physical database design which confines the volatility of a large database into a small, more manageable file. Although this approach affords many advantages, the use of dual files often results in two accesses to secondary storage. The response performance of the DFA is therefore a key issue, yet the only predictive performance model currently in existence assumes an ideal environment. This paper represents a preliminary step toward developing a general model of DFA performance, applicable to realistic settings in which the distribution of key accesses and the hashing distribution of keys to filter switches are non-uniform. In support of a regression approach to the problem, a metric is developed and tested for suitability as a predictor of non-uniformity effects.
机译:先前已经提出了差异文件体系结构(DFA)作为一种物理数据库设计,该设计将大型数据库的易失性限制在一个较小的,更易于管理的文件中。尽管此方法具有许多优点,但是使用双重文件通常会导致对辅助存储的两次访问。因此,DFA的响应性能是一个关键问题,但是当前存在的唯一预测性能模型假定理想的环境。本文代表了朝着开发DFA性能通用模型迈出的第一步,该模型适用于现实情况,在这种情况下,键访问的分布和过滤器开关的键的哈希分布是不均匀的。为了支持针对问题的回归方法,制定了度量标准并测试了其是否适合作为非均匀性影响的预测因子。

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