Use of Grammars and Machine Learning in ETL Systems That Control Load Balancing Process

The following paper introduces the performance evaluation of effective components in queries analysis and classification modules, as a part of the ETL management system. The main research focuses on usage of context-free grammars while analyzing queries arriving to the system. Also in the paper we present use of several methods of machine learning in a query processing time prediction. In previous research classifiers like Ridor were used, while query analysis was based on regular expression. Obtained results were quite encouraging and led to solutions presented in the paper.