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JOURNALS // Preprints of the Keldysh Institute of Applied Mathematics // Archive

Keldysh Institute preprints, 2021 026, 16 pp. (Mi ipmp2944)

This article is cited in 4 papers

Research of consensus algorithms for blockchain platforms

E. A. Bakhvalova, V. A. Sudakov


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.

DOI: 10.20948/prepr-2021-26



© Steklov Math. Inst. of RAS, 2024