Published 2020 | Version v1
Journal article

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

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

Description

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).

Availability note (English)

Available from https://www.epj-conferences.org/articles/epjconf/pdf/2020/02/epjconf_mmcp2019_03004.pdf; https://doaj.org/article/23be38faf4054429b24e975321448b9c

Additional details

Publishing Information

Journal Title
EPJ. Web of Conferences
Journal Volume
226
Journal Page Range
vp.
ISSN
2100-014X

Conference

Title
International Conference on Mathematical Modeling and Computational Physics
Acronym
MMCP 2019
Dates
1-5 Jul 2019
Place
Stara Lesna (Slovakia)

INIS

Country of Publication
France
Country of Input or Organization
France
INIS RN
53115753
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER ARCHITECTURE; COMPUTERS; MATHEMATICAL MODELS; SYSTEMS ANALYSIS