| Issue |
EPJ Web Conf.
Volume 173, 2018
Mathematical Modeling and Computational Physics 2017 (MMCP 2017)
|
|
|---|---|---|
| Article Number | 05010 | |
| Number of page(s) | 4 | |
| Section | Computing Tools and Software Services | |
| DOI | https://doi.org/10.1051/epjconf/201817305010 | |
| Published online | 14 February 2018 | |
https://doi.org/10.1051/epjconf/201817305010
Application of SLURM, BOINC, and GlusterFS as Software System for Sustainable Modeling and Data Analytics
School of Electrical Engineering and Computer Science, South Ural State University, Russia
* e-mail: vladislav.kash@gmail.com
** e-mail: kil7491@gmail.com
Published online: 14 February 2018
Modern numerical modeling experiments and data analytics problems in various fields of science and technology reveal a wide variety of serious requirements for distributed computing systems. Many scientific computing projects sometimes exceed the available resource pool limits, requiring extra scalability and sustainability. In this paper we share the experience and findings of our own on combining the power of SLURM, BOINC and GlusterFS as software system for scientific computing. Especially, we suggest a complete architecture and highlight important aspects of systems integration.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
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