通过动态层次管理和基于位置的聚类来增强实用的拜占庭式故障耐受性
Gwangyong Kim1, Jinsung Cho2, Min Choi3
1Department of Computer Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
这项研究增强了使用动态层次结构和基于位置的集群的私有区块链的实用拜占庭式故障容忍 (PBFT) 共识算法. 改进的PBFT显著提高了分布式系统中的处理性能和可扩展性.
科学领域:
- 计算机科学 计算机科学
- 分布式系统 分布式系统
- 区块链技术 区块链技术
背景情况:
- 区块链是一种分布式分类账技术,它依赖于网络完整性的共识算法.
- 实用拜占庭式故障容忍 (PBFT) 常用于私有区块链,但面临着可扩展性挑战.
- 现有的PBFT实现在大型网络中扎着延迟和吞吐量.
研究的目的:
- 为解决私人区块链网络中PBFT共识算法的可扩展性限制.
- 提出一个增强的PBFT模型,包括动态层次管理和基于位置的集群.
- 为了优化共识延迟并提高整体处理性能.
主要方法:
- 开发了一种增强的PBFT算法,该算法基于地理位置对节点进行集群.
- 实施了动态层次管理,以优化集群内的共识过程.
- 进行实验性评估,将拟议的方法与标准PBFT和DLM-PBFT进行比较.
主要成果:
- 提议的增强型PBFT显示了与传统PBFT相比显著的性能改善.
- 与标准PBFT相比,实现了大约107%至128%的处理性能增长.
- 超越了动态层管理PBFT (DLM-PBFT) 的性能,改进率从11%到99%不等.
结论:
- 增强的PBFT具有动态层次结构和基于位置的集群,有效地克服了可扩展性问题.
- 拟议的方法为提高私人区块链共识效率提供了一个可行的解决方案.
- 这项研究有助于推进高性能分布式分类账技术.
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