EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||8|
|Section||T3 - Distributed computing|
|Published online||17 September 2019|
The JINR distributed computing environment
Joint Institute for Nuclear Research, Laboratory of Information Technologies,
* Corresponding author: firstname.lastname@example.org
Published online: 17 September 2019
Computing in the field of high energy physics requires usage of heterogeneous computing resources and IT, such as grid, high performance computing, cloud computing and big data analytics for data processing and analysis. The core of the distributed computing environment at the Joint Institute for Nuclear Research is the Multifunctional Information and Computing Complex. It includes Tier1 for CMS experiment, Tier2 site for all LHC experiments and other grid non-LHC VOs, such as BIOMED, COMPASS, NICA/MPD, NOvA, STAR and BESIII, as well as cloud and HPC infrastructures. A brief status overview of each component is presented. Particular attention is given to the development of distributed computations performed in collaboration with CERN, BNL, FNAL, FAIR, China, and JINR Member States. One of the directions for the cloud infrastructure is the development of integration methods of various cloud resources of the JINR Member State organizations in order to perform common tasks, and also to distribute a load across integrated resources. We performed cloud resources integration of scientific centers in Armenia, Azerbaijan, Belarus, Kazakhstan and Russia. Extension of the HPC component will be carried through a specialized infrastructure for HPC engineering that is being created at MICC, which makes use of the contact liquid cooling technology implemented by the Russian company JSC "RSC Technologies". Current plans are to further develop MICC as a center for scientific computing within the multidisciplinary research environment of JINR and JINR Member States, and mainly for the NICA mega-science project.
© The Authors, published by EDP Sciences, 2019
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.
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