Architecture of a Compact Data GRID Cluster for Teaching Modern Methods of Data Mining in the Virtual Computer Lab

Mikhail Belov; Vladimir Korenkov; Nadezhda Tokareva; Eugenia Cheremisina

doi:10.1051/epjconf/202022603004

EPJ

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Proceedings

Open Access

EPJ Web of Conferences 226, 03004 (2020)
https://doi.org/10.1051/epjconf/202022603004

Architecture of a Compact Data GRID Cluster for Teaching Modern Methods of Data Mining in the Virtual Computer Lab

Mikhail Belov¹^★, Vladimir Korenkov¹^,2^,3^★★, Nadezhda Tokareva¹^★★★ and Eugenia Cheremisina¹^★★★★

¹ System Analysis and Control Department, Dubna State University, Universitetskaya 19, 141980, Dubna, Russia
² Laboratory of Information Technologies, Joint Institute for Nuclear Research, Joliot-Curie 6, 141980, Dubna, Russia
³ Plekhanov Russian University of Economics, Stremyanny lane 36, 117997 Moscow, Russia

^★ e-mail: belov@uni-dubna.ru
^★★ e-mail: korenkov@jinr.ru
^★★★ e-mail: tokareva@uni-dubna.ru
^★★★★ e-mail: chere@uni-dubna.ru

Published online: 20 January 2020

Abstract

This paper discusses the architecture of a compact Data GRID cluster for teaching new methods of Big Data analytics in the Virtual Computer Lab. Its main destination is training highly qualified IT-professionals able to solve efficiently problems of distributed data storage and processing, drawing insights, data mining, and mathematical modeling based on these data. The Virtual Computer Lab was created and successfully operated by the experts of the System Analysis and Control Department at the Dubna State University in collaboration with the Laboratory of Information Technologies (Joint Institute for Nuclear Research).

© The Authors, published by EDP Sciences, 2020

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.