Open Repository and Bibliography (University of Luxembourg) · 2024 · 23 citations · 13 references
ComputingComputer ScienceComputer SystemsDistributed SystemsFault-tolerant SystemsFormal MethodsConcurrency ControlConsensus ProtocolsDistributed ConsensusProtocol VerificationReliable Distributed SystemsSpecification LanguagesConsensus Protocol VerificationDistributed Systems VerificationFault-tolerant ConsensusFault-tolerant Consensus ProtocolsFault-tolerant Distributed SystemsFormal ModelingPaxosSafety Properties
Distributed programs are known to be extremely difficult to implement, test, verify, and maintain. This is due in part to the large number of possible unforeseen interactions among components, and to the difficulty of precisely specifying what the programs should accomplish in a formal language that is intuitively clear to the programmers. We discuss here a methodology that has proven itself in building a state of the art implementation of Multi-Paxos and other distributed protocols used in a deployed database system. This article focuses on the basic ideas of formal EventML programming illustrated by implementing a fault-tolerant consensus protocol and showing how we prove its safety properties with the Nuprl proof assistant.
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Leslie Lamport · ACM Transactions on Computer Systems · 1998 · 2.7K citations · Full text
Gerwin Klein, Kevin Elphinstone, Gernot Heiser et al. · 2009 · 1.6K citations
In search of an understandable consensus algorithm
Diego Ongaro, John K. Ousterhout · 2014 · 1.5K citations