Abstract
Currently, OLAP systems capable of handling a huge amount of data tend to use two types of storage device based on NSM and DSM, respectively.Conventional approaches for query optimization in OLAP systems usually classify issued queries according to their operation type, e.g., insert, delete, or update, and thereby select the data storage device to be used. Briefly, focusing on the type of query issued to the OLAP systems makes is possible to find another approach to improve query processing time.In this paper, we propose a method for optimizing query processing in an OLAP system with two types of storage device that considers the type of each query.
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