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Benchmarking preparation for and aggregate and sorting retrievals in the multi-backened database system

机译:在多支持数据库系统中进行基准准备,汇总和排序检索

摘要

The scope of this thesis is twofold . The first is to provide a methodology for the performance evaluation of the Multi-Backend Database System, MBDS. The second is to describe the implementation and integration for two new database operations, the aggregate retrieval and the sorted retrieval.The thesis provides the essential tools for the successful evaluation of MBDS. The performance evaluation of MBDS is necessary to validate the performance gains in terms of response-time reduction, and capacity growth in terms of response-time invariance. The implementation and integration of the aggregate retrieval and sorted retrieval provide two advanced data retrieval operations to MBDS. The aggregate retrieval operation allows the user to obtain extremely useful data not inherently available in the data itself. The sorted retrieval operation allows the user to retrieve data and have it presented in a more meaningful fashion.
机译:本文的研究范围有两个方面。首先是提供一种评估多后端数据库系统MBDS性能的方法。其次是描述两种新的数据库操作的实现和集成,即聚合检索和排序检索。本文为成功评估MBDS提供了必要的工具。 MBDS的性能评估对于验证响应时间减少方面的性能提升以及响应时间不变性方面的容量增长是必要的。聚集检索和分类检索的实现和集成为MBDS提供了两种高级数据检索操作。聚合检索操作允许用户获得在数据本身中固有不可用的极其有用的数据。排序的检索操作允许用户检索数据并以更有意义的方式显示它。

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