摘要
文章对基于聚类算法的实用拜占庭容错(Practical Byzantine Fault Tolerance,PBFT)共识优化改进的理论基础进行分析,并从聚类模型构建与共识流程分工两个维度,重点阐述了具体的优化措施;同时,采用实验仿真的方式,论证了优化措施的科学性与可行性,旨在提高区块链技术的共识质量和效率,促进区块链模型的广泛应用,为从业人员提供参考和借鉴。
The article analyzes the theoretical basis of practical byzantine fault tolerance(PBFT)consensus optimization and improvement based on clustering algorithm,and focuses on specific optimization measures from the two dimensions of clustering model construction and consensus process division of labor;at the same time,it adopts experimental simulation to demonstrate the scientific and feasibility of the optimization measures,which is aimed at improving the quality and efficiency of the consensus of the blockchain technology,and facilitating the wide application of the blockchain model,so as to provide a practitioners to provide reference and reference.
作者
单伯瑜
SHAN Boyu(School of Information,North China University of Technology,Beijing 100144,China)
出处
《信息与电脑》
2025年第1期4-6,共3页
Information & Computer
关键词
区块链
聚类算法
PBFT共识优化
改进措施
blockchain
clustering algorithm
PBFT consensus optimization
improvement measures
作者简介
单伯瑜,男,本科。研究方向:区块链、计算机软件及计算机应用、隐私保护。
