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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
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.
Citation:
E. A. Bakhvalova, V. A. Sudakov, “Research of consensus algorithms for blockchain platforms”, Keldysh Institute preprints, 2021, 026, 16 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2944 https://www.mathnet.ru/eng/ipmp/y2021/p26
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Abstract page: | 151 | Full-text PDF : | 72 | References: | 19 |
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