Verification of the simulation program for creating digital twins of distributed data acquisition, storage and processing centers

Daria I. Priakhina, Vladimir V. Korenkov, Vladimir V. Trofimov, Konstantin V. Gertsenberger

Abstract


The simulation program is a key element of the software complex for creating digital twins of distributed data storage and processing centers. It was verified using the example of the computing infrastructure of the BM@N experiment of the NICA accelerator complex during the first physical session of 2023. Such processes as the acquisition of experimental data, its subsequent transfer to storage nodes, as well as the multi-stage processing of particle collision events to reconstructed data, were modeled. The simulation results were compared with statistics collected by computing infrastructure monitoring tools according to such indicators as storage capacity, computing resource load, data transfer rate, astronomical processing time of the job flow. Based on the comparison, a conclusion about the reliability and satisfactory accuracy of the modeling, which ensures the correct planning of data acquisition and processing, was made. The program can be used as part of a complex to create digital twins of distributed data storage and processing centers for the design, development and operational management of such systems.

Full Text:

PDF (Russian)

References


D. Priakhina, V. Korenkov, “Relevance of creating a digital twin for managing distributed data acquisition, storage and processing centers,” Modern Information Technologies and IT-Education, vol. 19, no. 3, 2023, in press (in Russ.).

D. Priakhina, V. Korenkov, V. Trofimov, “Method of constructing digital twins for solving the tasks of effective management and development of distributed data acquisition, storage and processing centers,” Modern Information Technologies and IT-Education, vol. 19, no.3, 2023, in press (in Russ.).

M. Kapishin, “Studies of baryonic matter at the BM@N experiment (JINR),” Nuclear Physics A., vol. 982, pp. 967, 2019.

V. Kekelidze, A. Kovalenko, R. Lednicky, V. Matveev, I. Meshkov, A. Sorin, G. Trubnikov, “Status of the NICA project at JINR,” EPJ Web Conf., vol. 138. p. 01027, 2017.

NICA Bulletin. (2023, March). [Online]. Available: http://www.jinr.ru/wp-content/uploads/2023/03/nica_vypusk9.pdf

MICC - INFRASTRUCTURE. 2023. (2023). [Online]. Available: https://micc.jinr.ru/

Gh. Adam, M. Bashashin, D. Belyakov, M. Kirakosyan, M. Matveev, D. Podgainy, T. Sapozhnikova, O. Streltsova, Sh. Torosyan, M. Vala, L. Valova, A. Vorontsov, T. Zaikina, E. Zemlyanaya, M. Zuev. (2018, December). IT-ecosystem of the HybriLIT heterogeneous platform for high performance computing and training of IT specialists. CEUR Workshop Proceedings. [Online]. 2267. pp. 638–644. Available: https://ceur-ws.org/Vol-2267/638-644-paper-122.pdf

V. Korenkov, I. Pelevanyuk, A. Tsaregorodtsev. (2023). DIRAC at JINR as a general purpose system for massive computations. J. Phys.: Conf. Ser. [Online]. 2438. p. 012029. Available: https://iopscience.iop.org/article/10.1088/1742-6596/2438/1/012029

I. Pelevanyuk. (2021, September). Performance evaluation of computing resources with DIRAC interware. AIP Conference Proceedings. [Online]. 2377. pp. 4–6. Available: https://pubs.aip.org/aip/acp/article/2377/1/040006/658233/Performance-evaluation-of-computing-resources-with


Refbacks

  • There are currently no refbacks.


Abava  Кибербезопасность IT Congress 2024

ISSN: 2307-8162