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Preprints of the Keldysh Institute of Applied Mathematics, 2021, 026, 16 pp.
DOI: https://doi.org/10.20948/prepr-2021-26
(Mi ipmp2944)
 

This article is cited in 4 scientific papers (total in 4 papers)

Research of consensus algorithms for blockchain platforms

E. A. Bakhvalova, V. A. Sudakov
References:
Abstract: In this paper, several consensus algorithms are investigated, a comparative analysis of these algorithms is made, the results of which are important in the context of the active growth of the cryptocurrency market. In addition, in the context of pandemics, the creation of blockchain technologies for the distributed storage of reliable medical data is relevant. The key properties of consensus algorithms are highlighted, and a detailed analysis of the algorithm of the promising Istanbul BFT algorithm is carried out. Using multi-criterion analysis of alternatives, it is shown how you can select the appropriate consensus algorithm for the needs of specific tasks.
Keywords: blockchain, consensus, Byzantine fault tolerance, multicriteria analysis.
Funding agency Grant number
Russian Foundation for Basic Research 20-51-80002
Document Type: Preprint
Language: Russian
Citation: E. A. Bakhvalova, V. A. Sudakov, “Research of consensus algorithms for blockchain platforms”, Keldysh Institute preprints, 2021, 026, 16 pp.
Citation in format AMSBIB
\Bibitem{BakSud21}
\by E.~A.~Bakhvalova, V.~A.~Sudakov
\paper Research of consensus algorithms for blockchain platforms
\jour Keldysh Institute preprints
\yr 2021
\papernumber 026
\totalpages 16
\mathnet{http://mi.mathnet.ru/ipmp2944}
\crossref{https://doi.org/10.20948/prepr-2021-26}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2944
  • https://www.mathnet.ru/eng/ipmp/y2021/p26
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:151
    Full-text PDF :72
    References:19
     
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