A Performance Comparison of Algorithms for Byzantine Agreement in Distributed Systems

Shreya Agrawal, Khuzaima S. Daudjee
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引用次数: 6

Abstract

Reaching agreement in the presence of byzantine processes is an important task in distributed systems. Theoretical analysis of algorithms for Byzantine Agreement can provide insight into their efficiency. However, analysis of algorithms under varying parameters and practical constraints through experimental evaluation can be key to understanding the performance and trade-offs of theoretically well-performing algorithms. We compare the performance of two randomized byzantine agreement algorithms-one using the pull-push approach and another using the concept of quorums-and a third recent simple deterministic byzantine agreement algorithm. Through implementation on a testbed environment using the metrics of bit complexity, round complexity and latency in the presence of network sizes and faulty processes, we quantify the performance of each algorithm. In terms of bit complexity, we show that for small networks (n <; 32) and up to 10% faulty processes, the simple deterministic algorithm performs best, while for larger networks, pull-push is the best performing algorithm. The second randomized algorithm performs best in terms of latency.
分布式系统中拜占庭协议算法的性能比较
在存在拜占庭进程的情况下达成一致是分布式系统中的一项重要任务。通过对拜占庭协议算法的理论分析,可以深入了解拜占庭协议算法的有效性。然而,通过实验评估来分析不同参数和实际约束下的算法是理解理论上表现良好的算法的性能和权衡的关键。我们比较了两种随机拜占庭协议算法的性能——一种使用拉-推方法,另一种使用群体的概念——以及第三种最近的简单确定性拜占庭协议算法。通过在网络大小和故障进程存在的情况下,使用位复杂度、轮复杂度和延迟等指标在测试平台环境中实现,我们量化了每种算法的性能。在比特复杂度方面,我们证明了对于小型网络(n <;32)和高达10%的错误过程,简单的确定性算法表现最好,而对于较大的网络,拉推是表现最好的算法。第二种随机算法在延迟方面表现最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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