Lobachevskii Journal of Mathematics

, Volume 39, Issue 9, pp 1199–1206 | Cite as

Architecture of Distributed Data Storage for Astroparticle Physics

  • A. P. KryukovEmail author
  • A. P. Demichev
Part 1. Special issue “High Performance Data Intensive Computing” Editors: V. V. Voevodin, A. S. Simonov, and A. V. Lapin


For the successful development of the astrophysics and, accordingly, for obtaining more complete knowledge of the Universe, it is extremely important to combine and comprehensively analyze information of various types (e.g., about charged cosmic particles, gamma rays, neutrinos, etc.) obtained by using divers large-scale experimental setups located throughout the world. It is obvious that all kinds of activities must be performed continually across all stages of the data life cycle to help support effective data management, in particular, the collection and storage of data, its processing and analysis, refining the physical model, making preparations for publication, and data reprocessing taking refinement into account. In this paper we present a general approach to construction and the architecture of a system to be able to collect, store, and provide users’ access to astrophysical data. We also suggest a new approach to the construction of a metadata registry based on the blockchain technology.

Keywords and phrases

astroparticle physics distributed storage data life cycle metadata blockchain 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    P. A. David, “Understanding the emergence of ‘open science’ institutions: functionalist economics in historical context,” Ind. Corp. Change 13, 571–589 (2004).CrossRefGoogle Scholar
  2. 2.
    N. N. Budnev, I. I. Astapov, A. G. Bogdanov, V. Boreyko, M. Büker, M. Brückner, A. Chiavassa, A. V. Gafarov, O. B. Chvalaev, N. Gorbunov, and V. Grebenyuk, “TAIGA the Tunka Advanced Instrument for cosmic ray physics and Gamma Astronomy—present status and perspectives,” J. Instrum. 9, C09021 (2014).Google Scholar
  3. 3.
    W. D. Apel, J. C. Arteaga, et al., “The KASCADE-grande experiment,” Nucl. Instrum. Methods Phys. Res., Sect. A 620, 202–215 (2010).CrossRefGoogle Scholar
  4. 4.
    P. Vassiliadis, “A survey of Extract-transform-Load technology,” Int. J. Data Warehousing Mining 5, 1–27 (2009).CrossRefGoogle Scholar
  5. 5.
    R. Meusel, J. Blomer, P. Buncic, G. Ganis, and S. Heikkila, “Recent developments in the cernvm-file system server backend,” J. Phys.: Conf. Ser. 608, 012031 (2015).Google Scholar
  6. 6.
    D. M. Dhamdhere, Operating Systems: A Concept-based Approach (Tata McGraw-Hill Education, New York, 2006).Google Scholar
  7. 7.
    J. Blomer, P. Buncic, and R. Meusel, “The CernVM file system,” Technical Report (2013).–0.pdf.Google Scholar
  8. 8.
    J. R. Okajima, Aufs—Advanced multi layered Unification FileSystem. Accessed 2017.Google Scholar
  9. 9.
    F. Zafar, A. Khan, S. Suhail, I. Ahmed, K. Hameed, H. M. Khan, F. Jabeen, and A. Anjum, “Trustworthy data: A survey, taxonomy and future trends of secure provenance schemes,” J. Network Comput. Appl. 94, 50–68 (2017).CrossRefGoogle Scholar
  10. 10.
    J. Freire, D. Koop, E. Santos, and C. T. Silva, “Provenance for computational tasks: A survey,” Comput. Sci. Eng. 10 (3), 20–30 (2008).CrossRefGoogle Scholar
  11. 11.
    M. Iansiti and K. R. Lakhani, “The truth about blockchain,” Harvard Business Rev. 95, 118–127 (2017).Google Scholar
  12. 12.
    BitFury Group and J. Garzik, Public versus Private Blockchains (2015). http://aufs.sourceforge.net pdfrnalRef>.Google Scholar
  13. 13.
    R. C. Merkle, “A digital signature based on a conventional encryption function,” Lect. Notes Comput. Sci. 293, 369–378 (1988).CrossRefGoogle Scholar
  14. 14.
  15. 15.
    P. Franco, Understanding Bitcoin. Cryptography, Engineering, and Economics (Wiley, West Sussex, 2015).Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.D. V. Skobeltsyn Institute of Nuclear PhysicsLomonosov Moscow State UniversityMoscowRussia

Personalised recommendations