Cost-Based Database Scaling

V. Oruganti
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引用次数: 0

Abstract

Scaling database is one of the important aspects of testing the database engines. Traditionally, scaling performed in the most of the databases is with respect to the size of the database. That is, given a scaling factor, the row cardinality of each relation is scaled up by a factor. In this paper, we describe a new method of scaling database called cost based scaling. The cost is the time taken to execute a query workload on scaled database. The goal of cost based scaling is to scale the database so that time taken for executing queries on scaled database is some multiple of time for executing the queries on original database. This cost based scaling can be used as an alternative to the traditional size based scaling for testing the database engines.
基于成本的数据库扩展
扩展数据库是测试数据库引擎的一个重要方面。传统上,在大多数数据库中执行的伸缩是与数据库的大小有关的。也就是说,给定一个缩放因子,每个关系的行基数按一个因子进行缩放。本文提出了一种基于成本的数据库扩展方法。成本是在扩展数据库上执行查询工作负载所花费的时间。基于成本的扩展的目标是扩展数据库,以便在扩展后的数据库上执行查询所需的时间是在原始数据库上执行查询所需时间的若干倍。这种基于成本的扩展可以替代传统的基于大小的扩展,用于测试数据库引擎。
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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