An Optimizing Query Processor with an Efficient Caching Mechanism for Distributed Databases
Selvaraj Prabha1, Arputharaj Kannan2, and Palaniappan Anandha Kumar2
1Department of Information, RMK Engineering College, India
2Department of Computer Science and Engineering, Anna University, India
Abstract: This paper provides an efficient way of querying among many distributed and heterogeneous data sources. We describe a database optimization framework that supports data and computation reuse, query scheduling and caching mechanism to speed up the evaluation of multiquery workload. The Caching query result is stored as an eXtensible Markup Language (XML) document. An XML oriented common data model and an XML Parser (XP) accept the SQL statement, which consists of selection constructs to impose constraints, project construct and also to update the database distributed. It also maintains the historical database to store the historical data. Using this optimized query processor and XML cache could simply fasten the query processing. The experimental results show that execution time is optimized and query cost is reduced.
Keywords: Temporal, caching, Xparser, query optimizer.
Received May 24, 2005; accepted December 20, 2005
