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Materialized view selection under the maintenance time constraint

机译:在维护时间约束下的物化视图选择

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摘要

A data warehouse is a data repository which collects and maintains a large amount of data from multiple distributed. autonomous and possibly heterogeneous data sources. Often the data is stored in the form of materialized views in order to provide fast access to the integrated data. One of the most important decisions in designing a data warehouse is the selection of views for materialization. The objective is to select all appropriate set of views that minimizes the total query response time with the constraint that the total maintenance time for these materialized views is within a given bound. This view selection problem is totally different from the view selection problem under the disk space constraint. In this paper the view selection problem under the maintenance time constraint is investigated. Two efficient, heuristic algorithms for the problem are proposed. The key to devising the proposed algorithms is to define good heuristic functions and to reduce the problem to some well-solved optimization problems. As a result, an approximate solution of the known optimization problem will give a feasible solution of the original problem.
机译:数据仓库是一个数据存储库,它从多个分布式数据库中收集和维护大量数据。自治的和可能是异构的数据源。通常,数据以实例化视图的形式存储,以便提供对集成数据的快速访问。设计数据仓库中最重要的决定之一就是选择实现视图。目的是选择所有适当的视图集,这些视图集将这些查询视图的总维护时间限制在给定范围内,从而将总查询响应时间降至最低。此视图选择问题与磁盘空间约束下的视图选择问题完全不同。本文研究了在维护时间约束下的视图选择问题。提出了两种有效的启发式算法。设计提出的算法的关键是定义良好的启发式函数,并将该问题简化为一些已解决的优化问题。结果,已知优化问题的近似解将给出原始问题的可行解。

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