Ladon: High-Performance Multi-BFT Consensus via Dynamic Global Ordering (Extended Version)

Hanzheng Lyu, Shaokang Xie, Jianyu Niu, Chen Feng, Yinqian Zhang, Ivan Beschastnikh
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Abstract

Multi-BFT consensus runs multiple leader-based consensus instances in parallel, circumventing the leader bottleneck of a single instance. However, it contains an Achilles' heel: the need to globally order output blocks across instances. Deriving this global ordering is challenging because it must cope with different rates at which blocks are produced by instances. Prior Multi-BFT designs assign each block a global index before creation, leading to poor performance. We propose Ladon, a high-performance Multi-BFT protocol that allows varying instance block rates. Our key idea is to order blocks across instances dynamically, which eliminates blocking on slow instances. We achieve dynamic global ordering by assigning monotonic ranks to blocks. We pipeline rank coordination with the consensus process to reduce protocol overhead and combine aggregate signatures with rank information to reduce message complexity. Ladon's dynamic ordering enables blocks to be globally ordered according to their generation, which respects inter-block causality. We implemented and evaluated Ladon by integrating it with both PBFT and HotStuff protocols. Our evaluation shows that Ladon-PBFT (resp., Ladon-HotStuff) improves the peak throughput of the prior art by $\approx$8x (resp., 2x) and reduces latency by $\approx$62% (resp., 23%), when deployed with one straggling replica (out of 128 replicas) in a WAN setting.
拉顿通过动态全局排序实现高性能多 BFT 共识(扩展版)
Multi-BFT 共识可以并行运行多个基于领导者的共识实例,从而避免了单个实例的领导者瓶颈。然而,它也有一个致命弱点:需要对跨实例的输出块进行全局排序。这种全局排序具有挑战性,因为它必须应对实例产生区块的不同速度。先前的 Multi-BFT 设计在创建前为每个块分配一个全局索引,导致性能低下。我们提出的 Ladon 是一种允许不同实例块速率的高性能多 BFT 协议。我们的关键想法是在实例间动态排序块,从而消除了慢速实例上的阻塞。我们通过为区块分配单调的等级来实现动态全局排序。我们将等级协调与共识过程进行管道化,以减少协议开销,并将聚合签名与等级信息相结合,以降低消息复杂性。Ladon 的动态排序使块能够根据其生成情况进行全局排序,从而尊重了块间的因果关系。我们将 Ladon 与 PBFT 和 HotStuff 协议集成,对其进行了实施和评估。评估结果表明,当在广域网环境中部署一个杂散的副本(共有128个副本)时,Ladon-PBFT(即Ladon-HotStuff)将现有技术的峰值吞吐量提高了约8倍(即2倍),并将延迟降低了约62%(即23%)。
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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