Research and Application of BFT Algorithms Based on the Hybrid Fault Model

2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN) Pub Date : 2018-08-01 DOI:10.1109/HOTICN.2018.8606021

Qichao Zhang, Zhuyun Qi, Xiaoyou Liu, Tao Sun, Kai Lei

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引用次数: 2

Abstract

The recent explosion of interest in blockchain led to a plethora of researches on consensus algorithms. Compared with bitcoin-derived consensus mechanisms, Byzantine Fault-Tolerance (BFT) algorithms are more applicable for consortium blockchain. However, these algorithms work lies in the foundation that 3f + 1 nodes are required to tolerate only f faults, which results in high network traffic and cost. The hybrid fault model with Trusted Components (TC) assistance is proposed to reduce the minimum to 2f +1 and improve overall performance. In this paper, we firstly introduce the basic principles of BFT algorithms based on the hybrid fault model. Then we analyze different TC abstractions and implementation scenarios, and express our own choices. The general framework for BFT algorithms design choices and the applications of this model in blockchain are also discussed. Therefore, this paper aims to provide guidance for reasonable design of efficient BFT algorithms and application of TC assistance mechanism.

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基于混合故障模型的BFT算法研究与应用

最近对区块链的兴趣激增，导致了对共识算法的大量研究。与比特币衍生的共识机制相比，拜占庭容错(BFT)算法更适用于联盟区块链。但是，这些算法工作的基础是要求3f + 1节点只允许f个故障，这导致了高网络流量和高成本。提出了基于可信组件辅助的混合故障模型，将最小值降低到2f +1，提高了整体性能。本文首先介绍了基于混合故障模型的BFT算法的基本原理。然后我们分析了不同的TC抽象和实现场景，并表达了我们自己的选择。讨论了BFT算法设计选择的一般框架以及该模型在区块链中的应用。因此，本文旨在为合理设计高效的BFT算法和TC辅助机制的应用提供指导。

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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来源期刊

2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN)

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