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Analytical Comparison of DLT Platforms Activity

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11620))

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Abstract

This paper describes a method for analyzing and comparing the activity of various distributed ledger platforms. The presented topics are the criteria for evaluating platforms, the method of their ranking and methods for automated collection information about them. A system that allows automatic assessment and ranking of distributed ledger technologies (DLT) with an open GitHub repository has been developed. Visualization of the collected information by means of Elasticsearch and Kibana is described.

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Acknowledgements

We are grateful to Dr. Martin Reinhardt for the help to prepare the text of this paper.

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Authors and Affiliations

  1. Saint-Petersburg State University, St. Petersburg, Russia

    Oleg Iakushkin, Anna Fatkina, Dmitry Selivanov & Vladimir Korkhov

Authors
  1. Oleg Iakushkin
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  2. Anna Fatkina
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  3. Dmitry Selivanov
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  4. Vladimir Korkhov
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Corresponding author

Correspondence to Oleg Iakushkin .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Iakushkin, O., Fatkina, A., Selivanov, D., Korkhov, V. (2019). Analytical Comparison of DLT Platforms Activity. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11620. Springer, Cham. https://doi.org/10.1007/978-3-030-24296-1_44

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  • DOI: https://doi.org/10.1007/978-3-030-24296-1_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24295-4

  • Online ISBN: 978-3-030-24296-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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