2001
DOI: 10.1006/inco.2001.3054
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Probabilistic Quorum Systems

Abstract: In this paper we present two protocols for asynchronous Byzantine Quorum Systems (BQS) built on top of reliable channels-one for self-verifying data and the other for any data. Our protocols tolerate ¢ Byzantine failures with ¢ fewer servers than existing solutions by eliminating nonessential work in the write protocol and by using read and write quorums of different sizes. Since engineering a reliable network layer on an unreliable network is difficult, two other possibilities must be explored. The first is t… Show more

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Cited by 123 publications
(129 citation statements)
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“…HQ combines the use of quorums and consensus techniques to provide high performance during normal operation and minimize overhead during periods of contention [17]. Probabilistic techniques have also been proposed to reduce the overhead of using quorum systems to provide Byzantine fault-tolerance [18,19]. Hendricks et al [20] proposed the use of erasure coding to minimize the overhead of a Byzantine fault-tolerant storage system.…”
Section: Related Workmentioning
confidence: 99%
“…HQ combines the use of quorums and consensus techniques to provide high performance during normal operation and minimize overhead during periods of contention [17]. Probabilistic techniques have also been proposed to reduce the overhead of using quorum systems to provide Byzantine fault-tolerance [18,19]. Hendricks et al [20] proposed the use of erasure coding to minimize the overhead of a Byzantine fault-tolerant storage system.…”
Section: Related Workmentioning
confidence: 99%
“…Contrast this with (2) and with the consistency requirement for traditional probabilistic masking quorum systems [10] (adapted to consider access sets), which requires that the faulty participants (qualified or not) cannot produce sufficient votes for a candidate to be observed in expectation:…”
Section: Type Of Servermentioning
confidence: 99%
“…Write markers require no communication assumptions beyond those of the probabilistic quorums for which they are used. For completeness, we summarize the model of [11], which is common to prior works in probabilistic [10] and signed [13] quorum systems: we assume that each nonfaulty client can successfully communicate with each non-faulty server with high probability, and hence with all non-faulty servers with roughly equal probability. This assumption is in place to ensure that the network does not significantly bias a non-faulty client's interactions with servers either toward faulty servers or toward different non-faulty servers than those with which another non-faulty client can interact.…”
Section: Definitions and System Modelmentioning
confidence: 99%
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