Simulation Results of BM@N Computing Infrastructure

The important task in creating a computing infrastructure of any large experiment is predictive modelling of data storage and processing centers. A software complex is developed at the Meshcheryakov Laboratory of Information Technologies, which allows simulating processes of data handling to find ou...

Full description

Saved in:
Bibliographic Details
Published in:Physics of particles and nuclei letters 2023-10, Vol.20 (5), p.1272-1275
Main Authors: Priakhina, D., Korenkov, V., Trofimov, V., Gertsenberger, K.
Format: Article
Language:English
Subjects:
Computer networks
Computer Technologies in Physics
Data processing
Data storage
Distributed processing
Infrastructure
Modelling
Particle and Nuclear Physics
Physics
Physics and Astronomy
Prediction models
Simulation
Software
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The important task in creating a computing infrastructure of any large experiment is predictive modelling of data storage and processing centers. A software complex is developed at the Meshcheryakov Laboratory of Information Technologies, which allows simulating processes of data handling to find out both how the data storage and processing infrastructure will work with the available computing resources, and to estimate the load on computing components and communication links with the specified parameters of data flows and jobs. The article presents results of the work on modelling the computer infrastructure for data processing of the BM@N experiment at NICA. The main goal is the assessment of the current and future resource requirements for the data storing and processing. The results of the modeling the distributed computing infrastructure for the BM@N experiment, according to the available allocated resources for the autumn run in 2022, are presented. The prospects for the development of the software simulation complex are formulated.
ISSN:1547-4771
1531-8567
DOI:10.1134/S1547477123050631