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/23be38faf4054429b24e975321448b9cAdditional details
Identifiers
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