Dynamic modulating strategy of materialized views in data warehouse
Wang Chen, Bo Xu
Abstract
Wang Chen, Bo Xu
Abstract
To improve the affection of OLAP queries is an important aspect of data warehouse domain. It affects the efficiency of queries in data warehouse directly. There have been many researches articles to resolve the problem, such as PBS and PBUS algorithm. But the methods don't take the dynamic changes of the queries in to account. Base on the PBUS algorithm, a novel method is proposed to select materialized views of multidimensional data called dynamic selection Strategy. It is more effective than other solutions.
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To improve the affection of OLAP queries is an important aspect of data warehouse domain. It affects the efficiency of queries in data warehouse directly. There have been many researches articles to resolve the problem, such as PBS and PBUS algorithm. But the methods don't take the dynamic changes of the queries in to account. Base on the PBUS algorithm, a novel method is proposed to select materialized views of multidimensional data called dynamic selection Strategy. It is more effective than other solutions.
Key concepts: Materialized view, Data warehouse, Online analytical processing, Computer science, Selection (genetic algorithm), Dimensional modeling, Domain (mathematical analysis), Warehouse