DOI

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.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2019
Subtitle of host publication19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II
EditorsSanjay Misra, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Vladimir Korkhov, Carmelo Torre, Eufemia Tarantino, Ana Maria A.C. Rocha, David Taniar, Bernady O. Apduhan
PublisherSpringer Nature
Pages556-566
Number of pages11
ISBN (Electronic)978-3-030-24296-1
ISBN (Print)978-3-030-24295-4
DOIs
StatePublished - 1 Jul 2019
Event19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Russian Federation
Duration: 1 Jul 2019 → 4 Jul 2019
Conference number: 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume11620
ISSN (Print)0302-9743

Conference

Conference19th International Conference on Computational Science and Its Applications, ICCSA 2019
Abbreviated titleICCSA 2019
Country/TerritoryRussian Federation
CitySaint Petersburg
Period1/07/19 → 4/07/19

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Analytics, Distributed ledger, GitHub

ID: 45181564