Application of SLURM, BOINC, and GlusterFS as Software System for Sustainable Modeling and Data Analytics
Vladislav Kashansky, Igor L. Kaftannikov · EPJ Web of Conferences · 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.