论乐观反应的最优性

Ittai Abraham, Kartik Nayak, Ling Ren, Nibesh Shrestha
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引用次数: 40

摘要

根据定义,同步共识协议具有最坏情况下的提交延迟,该延迟取决于有限的网络延迟。最近引入了乐观响应的概念,允许同步协议在满足某些乐观条件时立即提交。在这项工作中,我们重新审视了乐观响应的概念,并提出了最佳延迟结果。我们提出了拜占庭广播的下界,当指定的发送者是诚实的,而乐观提交可以容忍一些错误时,它与乐观和同步提交的延迟有关。然后,我们给出了两个匹配的上限,以容忍$n = 2f+1$组中的f个错误。当指定的发送方是诚实的并且乐观提交可以容忍至少一个错误时,我们的第一个上界结果实现了最佳的乐观和同步提交延迟。我们通过实验评估了该协议,并表明它实现了与最先进的同步和部分同步协议相当的吞吐量,并且在乐观条件下实现了比最先进的延迟。当指定的发送方是诚实的,但乐观提交不能容忍任何错误时,我们的第二个上界结果实现了最佳的乐观和同步提交延迟。对于$n = 2f+1$,下界和上界结果的匹配使得两个结果都是紧密的。我们的上界结果在状态机复制设置中呈现,该设置具有稳态领导者,当他们没有取得进展时,领导者被视图更改协议所取代。对于这种设置,我们还提出了一个乐观响应协议,其中视图更改协议也是乐观响应的。
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On the Optimality of Optimistic Responsiveness
Synchronous consensus protocols, by definition, have a worst-case commit latency that depends on the bounded network delay. The notion of optimistic responsiveness was recently introduced to allow synchronous protocols to commit instantaneously when some optimistic conditions are met. In this work, we revisit this notion of optimistic responsiveness and present optimal latency results. We present a lower bound for Byzantine Broadcast that relates the latency of optimistic and synchronous commits when the designated sender is honest and while the optimistic commit can tolerate some faults. We then present two matching upper bounds for tolerating f faults out of $n = 2f+1$ parties. Our first upper bound result achieves optimal optimistic and synchronous commit latency when the designated sender is honest and the optimistic commit can tolerate at least one fault. We experimentally evaluate this protocol and show that it achieves throughput comparable to state-of-the-art synchronous and partially synchronous protocols and under optimistic conditions achieves latency better than the state-of-the-art. Our second upper bound result achieves optimal optimistic and synchronous commit latency when the designated sender is honest but the optimistic commit does not tolerate any faults. The presence of matching lower and upper bound results make both of the results tight for $n = 2f+1$. Our upper bound results are presented in a state machine replication setting with a steady-state leader who is replaced with a view-change protocol when they do not make progress. For this setting, we also present an optimistically responsive protocol where the view-change protocol is optimistically responsive too.
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Session details: Session 1D: Applied Cryptography and Cryptanalysis HACLxN: Verified Generic SIMD Crypto (for all your favourite platforms) Pointproofs: Aggregating Proofs for Multiple Vector Commitments Session details: Session 4D: Distributed Protocols A Performant, Misuse-Resistant API for Primality Testing
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