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A Consensus Algorithm Tolerating Adversarial Crash and Probabilistic Omission

机译:对抗性崩溃和概率遗漏的共识算法

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The (uniform) consensus, which is one of fundamental and important pi'oblems for designing fault-tolerant distributed systems, is the problem that all processes have to agree on a common value that is proposed by a process. In this paper, we newly introduce a distributed system model that suffers crash faults and probabilistic omissions where each message is omitted with a probability p, and consider consensus algrithms on the model. We propose a consensus algorithm with O(f) worst-case expected round complexity if p < 1 - 4,/y. Interstingly, although the algorithm can tolerate high-probability message omission, its overhead is not so much: Since all of exiting consensus algorithms that can not tolerate omissions have the Worst-case round complexity at least (/ + 2), our algorithm has the round complexity only a constant time as much as existing non-omission-tolorant algorithms.
机译:(统一)共识是设计容错分布式系统的基本和重要的障碍之一,它是所有流程必须就流程提出的共同价值达成共识的问题。在本文中,我们新引入了一个遭受崩溃故障和概率遗漏的分布式系统模型,其中每条消息均以概率p省略,并考虑了该模型上的共识算法。如果p <1-4,/ y / n,我们提出了一种O(f)最坏情况的预期回合复杂度的共识算法。有趣的是,尽管该算法可以容忍高概率的消息遗漏,但其开销却不是很多:由于所有现有的无法容忍遗漏的共识算法至少具有最坏情况的回合复杂度(/ + 2),因此我们的算法具有与现有的无遗漏算法相比,整周复杂度只有固定的时间。

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