Abstract
Dynamic materialized view management problem has recently received considerable attention. The problem is how to dynamically maintain some results of online analytical processing (OLAP) queries for the purpose of maximizing the possibility to answer subsequence ad-hoc OLAP queries as well as minimizing the total query processing cost. However, the existing dynamic view management approaches have their limit to support OLAP queries. In this paper, we propose a dynamic materialized view management approach with a new hit prediction, which can predict the users’ interest in an ongoing fashion and adapt to changes if necessary. Extensive performance studies show that our approach achieves a high cache hit ratio and speeds up the response time or throughout for different kinds of OLAP queries.
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