DIXER – distributed executor for rough set exploration system

Authors:
Jan G. Bazan;Rafał Latkowski;Marcin Szczuka
Affiliations:
Institute of Mathematics, University of Rzeszów, Rzeszów, Poland;Institute of Informatics, Warsaw University, Warszawa, Poland;Institute of Mathematics, Warsaw University, Warszawa, Poland
Venue:
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Year:
2005

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Abstract

We present the Distributed Executor for RSES (DIXER) which is a supplementary software for the Rough Set Exploration System (RSES). It takes an advantage of grid computing paradigm and allows to shorten the time necessary for experiments by employing all available workstations to run a scenario of experiments. DIXER software includes most important rough set classification algorithms from RSES and also other algorithms for distributed machine learning. It creates an easy to operate and utilize platform for grid computations and provides a robust and fault tolerant environment for computation-heavy experiments. We provide also experimental evaluation of DIXER that proves at least 96% efficiency in parallelization.