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计算机系统应用英文版:2022,31(2):350-357
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基于积分选择PBFT共识算法的果品质量溯源
(西安理工大学 计算机科学与工程学院, 西安 710048)
Consensus Algorithm Based on Integral Selection PBFT for Fruit Quality Traceability
(School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China)
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Received:April 19, 2021    Revised:May 19, 2021
中文摘要: 针对基于区块链的果品质量溯源系统中存在的共识算法吞吐量低、时延高、主节点随机选择等问题, 本文提出了一种基于积分选择的改进PBFT (practical Byzantine fault tolerance)共识算法. 该算法引入积分选择协议, 通过对一致性协议、视图转换协议以及垃圾回收机制的优化, 提高诚实主节点被选择的概率、减少节点间通讯开销, 从而提升共识算法执行效率. 同时, 在运行垃圾回收机制时, 给所有参与节点重新分配积分, 达到了动态更改节点数量的目的. 实验表明, 本文提出的方法在提升共识算法吞吐量和降低时延方面具有更好的性能.
中文关键词: 溯源  区块链  共识算法  PBFT  积分选择
Abstract:To address the low throughput, high latency and random selection of master nodes in the Blockchain-based fruit quality traceability system, this study proposes an improved practical Byzantine fault tolerance (PBFT) consensus algorithm based on integral selection. The algorithm introduces the integral selection protocol and optimizes the consistency protocol, view change protocol and garbage collection mechanism to improve the probability of honest master nodes being selected and reduce the communication overhead between nodes, thus improving the efficiency of consensus algorithm execution. At the same time, when the garbage collection mechanism is operated, the integrals are reallocated to all participating nodes for the dynamic change in the node number. Experiments show that the method proposed in this study has better performance in improving the throughput and reducing the latency of consensus algorithms.
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基金项目:陕西省科技计划(2018HJCG-05)
引用文本:
安洋,李坤,李军怀,王怀军.基于积分选择PBFT共识算法的果品质量溯源.计算机系统应用,2022,31(2):350-357
AN Yang,LI Kun,LI Jun-Huai,WANG Huai-Jun.Consensus Algorithm Based on Integral Selection PBFT for Fruit Quality Traceability.COMPUTER SYSTEMS APPLICATIONS,2022,31(2):350-357