@inproceedings{39508cddd2ca4ef7ba34c57605272f9f,
title = "Use of grammars and machine learning in ETL systems that control load balancing process",
abstract = "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.",
keywords = "Lemat system, load balancing, performance evaluation, query processing, query processing prediction",
author = "Marcin Gorawski and Michal Gorawski and Stanislaw Dyduch",
year = "2014",
doi = "10.1109/HPCC.and.EUC.2013.243",
language = "English",
isbn = "9780769550886",
series = "Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013",
publisher = "IEEE Computer Society",
pages = "1709--1714",
booktitle = "Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013",
address = "United States",
note = "15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013 ; Conference date: 13-11-2013 Through 15-11-2013",
}