Open AccessUSING DISTRIBUTED CLOUDS FOR SCIENTIFIC COMPUTING
Author(s) -
Nikolay Kutovskiy,
I. Pelevanyuk,
D. Zaborov
Publication year - 2021
Publication title -
9th international conference "distributed computing and grid technologies in science and education"
Language(s) - English
Resource type - Conference proceedings
DOI - 10.54546/mlit.2021.78.51.001
Subject(s) - cloud computing , computer science , scope (computer science) , dice , distributed computing , resource (disambiguation) , utility computing , data science , cloud computing security , operating system , computer network , geometry , mathematics , programming language
Nowadays, cloud resources are the most flexible tool to provide access to infrastructures forestablishing services and applications. However, it is also a valuable resource for scientific computing.At the Joint Institute for Nuclear Research, the computing cloud was integrated with the DIRACsystem. It allowed for the submission of scientific computing jobs directly to the cloud. Thanks to theexperience, the cloud resources of several organizations from the JINR Member States were integratedin the same way. It increased the total amount of cloud resources accessible in a uniform way throughDIRAC, in the scope of the so-called Distributed Information and Computing Environment (DICE).Folding@Home tasks related to the SARS-CoV-2 virus were submitted to all available cloudresources. In addition to useful scientific results, such experience was also helpful in obtaininginformation about the performance, limitations, strengths, and weaknesses of the combined system.Based on the gained experience, the DICE infrastructure was tuned to successfully perform real userjobs related to Monte-Carlo simulation for the Baikal-GVD experiment.