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Performance tuning of Database Management Systems(DBMS) is both complex and challenging as it involves identifying and altering several key performance tuning parameters. The quality of tuning and the extent of performance enhancement achieved greatly depends on the skill and experience of the Database Administrator(DBA). As neural networks have the ability(More)
Database Management Systems deliver higher performance only when they are properly tuned. Database tuning is complicated due to the fact that several conflicting tuning parameters have to be adjusted simultaneously for a variety of workload types and the highly unpredictable traffic patterns. The Database Administrator(DBA) has to be an expert and using his(More)
Self-tuning of Database Management Systems(DBMS) offers important advantages such as improved performance, reduced Total Cost of Ownership(TCO), eliminating the need for an exert Database Administrator(DBA) and improved business prospects. Several techniques have been proposed by researchers and the database vendors to self-tune the DBMS. However, the(More)
The performance of Database Management System(DBMS) is significantly affected when the key tuning parameters are altered. Most DBMS come along with several hundred tuning parameters. It is therefore important to identify only a few important tuning parameters and evaluate their effect on the system performance. The effect of each of the tuning parameter(More)
— Database tuning is one of the most challenging tasks of a Database Administrator (DBA). DBA has to keep track of several performance indicators on a regular basis and fine tune the key system parameters for enhanced system performance. The DBA also has to ensure that the Database Management System (DBMS) is free from any system resource bottlenecks. In(More)
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