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Experience of operation the organized grid data analysis using Hyperloop train system. / Коваленко, Владимир Николаевич.

в: Physics of Particles and Nuclei, 27.10.2025.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Коваленко, ВН 2025, 'Experience of operation the organized grid data analysis using Hyperloop train system', Physics of Particles and Nuclei.

APA

Коваленко, В. Н. (Принято в печать). Experience of operation the organized grid data analysis using Hyperloop train system. Physics of Particles and Nuclei.

Vancouver

Коваленко ВН. Experience of operation the organized grid data analysis using Hyperloop train system. Physics of Particles and Nuclei. 2025 Окт. 27.

Author

Коваленко, Владимир Николаевич. / Experience of operation the organized grid data analysis using Hyperloop train system. в: Physics of Particles and Nuclei. 2025.

BibTeX

@article{5e7c59fdadaa40808af287521211f897,
title = "Experience of operation the organized grid data analysis using Hyperloop train system",
abstract = "This paper presents an analysis of operational experience with the Hyperloop train system, a framework designed for organized grid data processing in the ALICE experiment at CERN's Large Hadron Collider (LHC) in the Run 3. Hyperloop orchestrates distributed computing resources using a web-based interface that structures analyses as sequential workflows called trains. The system integrates automated resource estimation, validation, and submission mechanisms providing also version control and dataset comparison tools. The application of this operational experience to the development of analysis train systems for the MPD experiment at the NICA collider is discussed.",
author = "Коваленко, {Владимир Николаевич}",
year = "2025",
month = oct,
day = "27",
language = "English",
journal = "Physics of Particles and Nuclei",
issn = "1063-7796",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
note = "null ; Conference date: 07-07-2025 Through 11-07-2025",
url = "https://indico.jinr.ru/event/5170/",

}

RIS

TY - JOUR

T1 - Experience of operation the organized grid data analysis using Hyperloop train system

AU - Коваленко, Владимир Николаевич

PY - 2025/10/27

Y1 - 2025/10/27

N2 - This paper presents an analysis of operational experience with the Hyperloop train system, a framework designed for organized grid data processing in the ALICE experiment at CERN's Large Hadron Collider (LHC) in the Run 3. Hyperloop orchestrates distributed computing resources using a web-based interface that structures analyses as sequential workflows called trains. The system integrates automated resource estimation, validation, and submission mechanisms providing also version control and dataset comparison tools. The application of this operational experience to the development of analysis train systems for the MPD experiment at the NICA collider is discussed.

AB - This paper presents an analysis of operational experience with the Hyperloop train system, a framework designed for organized grid data processing in the ALICE experiment at CERN's Large Hadron Collider (LHC) in the Run 3. Hyperloop orchestrates distributed computing resources using a web-based interface that structures analyses as sequential workflows called trains. The system integrates automated resource estimation, validation, and submission mechanisms providing also version control and dataset comparison tools. The application of this operational experience to the development of analysis train systems for the MPD experiment at the NICA collider is discussed.

M3 - Article

JO - Physics of Particles and Nuclei

JF - Physics of Particles and Nuclei

SN - 1063-7796

Y2 - 7 July 2025 through 11 July 2025

ER -

ID: 141584429