2023
DOI: 10.3390/electronics12102271
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P-Raft: An Efficient and Robust Consensus Mechanism for Consortium Blockchains

Abstract: With the rise in blockchain technology, consortium blockchains have garnered increasing attention in practical applications due to their decentralization and immutability. However, the performance of current consortium blockchains remains a significant obstacle to large-scale commercial adoption. The consensus algorithm, as a fundamental component of blockchain technology, plays a critical role in ensuring both security and efficiency. Unfortunately, most existing consensus algorithms for consortium blockchain… Show more

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Cited by 4 publications
(2 citation statements)
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“…As the blockchain technology becomes a demand, consortium blockchains have significantly raised attention in practical applications due to their decentralization and immutability. However, the performance of current consortium blockchains remains a significant obstacle to large-scale commercial adoption (Lu et al, 2023). In that aspect, the proposed framework has used a high-performance Raft consensus algorithm that leverages node server performance.…”
Section: Methodsmentioning
confidence: 99%
“…As the blockchain technology becomes a demand, consortium blockchains have significantly raised attention in practical applications due to their decentralization and immutability. However, the performance of current consortium blockchains remains a significant obstacle to large-scale commercial adoption (Lu et al, 2023). In that aspect, the proposed framework has used a high-performance Raft consensus algorithm that leverages node server performance.…”
Section: Methodsmentioning
confidence: 99%
“…Hyperledger Fabric provides hot-plugged consensus algorithm modules, and we replaced the PBFT module with the CE-PBFT algorithm [25,30]. The CE-PBFT, IMPBFT, and PBFT algorithms were deployed to Hyperledger Fabric in local physical machine servers for the simulation and evaluation of their performance.…”
Section: Analysis and Simulation Experiments 41 Simulation Experiment...mentioning
confidence: 99%