A survey of blockchain consensus algorithms performance evaluation criteria
| Autor: | Amirhossein Motavali, Seyed Mojtaba Hosseini Bamakan, Alireza Babaei Bondarti |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Consensus algorithm
0209 industrial biotechnology Blockchain Computer science General Engineering 02 engineering and technology Load balancing (computing) computer.software_genre Computer Science Applications 020901 industrial engineering & automation Consensus Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Profitability index Pairwise comparison Data mining Database transaction computer |
| Zdroj: | Expert Systems with Applications. 154:113385 |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2020.113385 |
| Popis: | How to reach an agreement in a blockchain network is a complex and important task that is defined as a consensus problem and has wide applications in reality including distributed computing, load balancing, and transaction validation in blockchains. Over recent years, many studies have been done to cope with this problem. In this paper, a comparative and analytical review on the state-of-the-art blockchain consensus algorithms is presented to enlighten the strengths and constraints of each algorithm. Based on their inherent specifications, each algorithm has a different domain of applicability that yields to propose several performance criteria for the evaluation of these algorithms. To overview and provide a basis of comparison for further work in the field, a set of incommensurable and conflicting performance evaluation criteria is identified and weighted by the pairwise comparison method. These criteria are classified into four categories including algorithms’ throughput, the profitability of mining, degree of decentralization and consensus algorithms vulnerabilities and security issues. Based on the proposed framework, the pros and cons of consensus algorithms are systematically analyzed and compared in order to provide a deep understanding of the existing research challenges and clarify the future study directions. |
| Databáze: | OpenAIRE |
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