Mining internet data sets for computational grids

Data mining methodology and tools are employed in different application areas. This paper proposes a novel application field for data mining research, namely analysis and long-term forecasting of Internet performance, especially for the needs of Computational Grids. Using data mining the performance problems studied for Internet can be considered from new points of view, and sometimes with better understanding than through applying conventional data analysis methods. This knowledge has been mined by means of professional data mining package in order to build the decision model for advising in further exploitation and usage scheduling of Grid links for a particular time and date. The results show that the data mining can be efficiently used in this research area.