Charles Fonseca

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Distributed systems problems become much harder if there is a risk that nodes may “lie” (send arbitrary faulty or corrupted responses)—for example, if a node may claim to have received a particular message when in fact it didn’t. Such behavior is known as a Byzantine fault, and the problem of reaching consensus in this untrusting environment is known as the Byzantine Generals Problem [77].
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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