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Performance Analysis of Consensus Algorithm in Private Blockchain

机译:私有区块链共识算法的性能分析

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Blockchain technology has the characteristics of decentralization, security and non-modifiable. The consensus algorithm is the core of blockchain framework, which solves the problem of mutual trust among nodes in the distributed network. Selecting the appropriate consensus algorithm or not directly affects the performance of blockchain. However, existing private blockchain platform lacks theory and data support for the performance analysis of the consensus algorithm. This paper proposes a method to evaluate the performance of consensus algorithm in private blockchain platforms of Ethereum and Hyperledger Fabric. Through quantitative analysis of latency and throughput, we obtain the performance evaluation results of consensus algorithms with different numbers of transactions. The results show that the consensus mechanism induces performance bottleneck. Besides, Practical Byzantine Fault Tolerance (PBFT) consistently outperforms Proof-of-Work (PoW) in terms of latency and throughput under varying workloads. This paper contributes to providing not only the quantitative data support for the further research of consensus algorithm, but also the guidance to the blockchain practitioners in the selection of consensus mechanism.
机译:区块链技术具有去中心化,安全性和不可修改的特点。共识算法是区块链框架的核心,解决了分布式网络中节点之间的相互信任问题。选择合适的共识算法与否直接影响到区块链的性能。但是,现有的私有区块链平台缺乏对共识算法性能分析的理论和数据支持。本文提出了一种在以太坊和Hyperledger Fabric私有区块链平台上评估共识算法性能的方法。通过对等待时间和吞吐量的定量分析,我们获得了具有不同事务数量的共识算法的性能评估结果。结果表明,共识机制引起了性能瓶颈。此外,在各种工作负载下,实用的拜占庭容错(PBFT)在延迟和吞吐量方面始终优于工作量证明(PoW)。本文不仅为共识算法的进一步研究提供定量数据支持,也为区块链从业者选择共识机制提供指导。

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