Asymmetric Distributed Trust

C. Cachin, Björn Tackmann
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引用次数: 34

Abstract

Quorum systems are a key abstraction in distributed fault-tolerant computing for capturing trust assumptions. They can be found at the core of many algorithms for implementing reliable broadcasts, shared memory, consensus and other problems. This talk introduces asymmetric Byzantine quorum systems that model subjective trust. Every process is free to choose which combinations of other processes it trusts and which ones it considers faulty. Asymmetric quorum systems strictly generalize standard Byzantine quorum systems, which have only one global trust assumption for all processes. The talk presents also several protocols that tolerate Byzantine faults with asymmetric trust, such as shared-register implementations and reliable Byzantine broadcasts. Consensus is arguably one of the most important notions in distributed computing and also relevant for practical systems. We also show how to realize consensus protocols with asymmetric trust, illustrating our approach for protocols in partially synchronous systems and for asynchronous protocols that use randomization with asymmetric trust. Asymmetric quorum systems offer a way to understand some ideas behind the Ripple and Stellar blockchain protocols, which aim at relaxing symmetric trust assumptions and permit flexible trust. The presentation is based on joint work with Björn Tackmann and Luca Zanolini [1, 2].
非对称分布式信任
仲裁系统是分布式容错计算中捕获信任假设的关键抽象。它们可以在许多实现可靠广播、共享内存、共识和其他问题的算法的核心中找到。本讲座介绍了模拟主观信任的不对称拜占庭仲裁系统。每个进程都可以自由选择它信任的其他进程组合,以及它认为有缺陷的其他进程组合。非对称仲裁系统严格推广了标准拜占庭仲裁系统,后者对所有进程只有一个全局信任假设。该演讲还介绍了几种容忍具有非对称信任的拜占庭错误的协议,例如共享寄存器实现和可靠的拜占庭广播。共识可以说是分布式计算中最重要的概念之一,也与实际系统相关。我们还展示了如何使用非对称信任实现共识协议,说明了我们在部分同步系统中的协议和使用非对称信任的随机化的异步协议中的方法。非对称仲裁系统提供了一种理解Ripple和Stellar区块链协议背后的一些想法的方法,旨在放松对称信任假设并允许灵活的信任。该演示基于Björn Tackmann和Luca Zanolini的联合工作[1,2]。
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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