Pchrome: indexing the distributed materialised views

K. Dhanasree, Shoba Bindu Chigarepalli
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引用次数: 0

Abstract

The distributed query processing suffered from identifying which views are materialised over various distributed sites and optimally communicating these queries for the materialised views from node to node. This paper focuses on using MOLAPs layered structure for indexing the materialised views in the distributed scenario. We propose a new approach Pchrome to index the materialised views in the distributed architecture. Unlike other indexing methods which indexes on the data of the data cube, Pchrome indexes on the lattice structure of the MOLAP data cube, making it more efficient for query processing. We also demonstrated how our method reduced distributed communication cost. We implemented our approach on data cube without concept hierarchies. As a future enhancement we are studying the method with concept hierarchies.
图:索引分布式物化视图
分布式查询处理在识别在各种分布式站点上实体化了哪些视图,并在节点与节点之间以最佳方式为实体化视图通信这些查询时遇到了困难。本文重点研究了在分布式场景中使用MOLAPs分层结构对物化视图进行索引。我们提出了一种新的方法来索引分布式体系结构中的物化视图。与其他索引方法对数据立方体的数据进行索引不同,Pchrome对MOLAP数据立方体的晶格结构进行索引,这使得查询处理更加高效。我们还演示了我们的方法如何降低分布式通信成本。我们在没有概念层次结构的数据立方体上实现了我们的方法。作为未来的改进,我们正在研究具有概念层次结构的方法。
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