Using Bounded Model Checking to Verify Consensus Algorithms
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Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2011
Consensus is one of the key problems in fault-tolerant distributed computing. Although the solvability of consensus is now a well-understood problem, comparing different algorithms in terms of efficiency is still an open problem. In this paper, we address ...
We compare in an analytical way two leader-based and decentralized algorithms (that is, algorithms that do not use a leader) for Byzantine consensus with strong validity. We show that for \emph{the algorithms we analyzed}, in most cases, the decentralized ...
It is notoriously difficult to develop reliable, high-performance distributed systems that run over asynchronous networks. Even if a distributed system is based on a well-understood distributed algorithm, its implementation can contain errors arising from ...
We compare in an analytical way two leader-based and decentralized algorithms (that is, algorithms that do not use a leader) for Byzantine consensus with strong validity. We show that for the algorithms we analyzed, in most cases, the decentralized variant ...
Consensus is at the heart of fault-tolerant distributed computing systems. Much research has been devoted to developing algorithms for this particular problem. This paper presents a semi-automatic verification approach for asynchronous consensus algorithms ...
Dwork, Lynch, and Stockmeyer [3] and Lamport [4] showed that, in order to solve Consensus in a distributed system, it is sufficient that the system behaves well during a finite period of time. In sharp contrast, Chandra. Hadzilacos, and Toueg [6] proved th ...
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The paper considers the consensus problem in a partially synchronous system with Byzantine faults. It turns out that, in the partially synchronous system, all deterministic algorithms that solve consensus with Byzantine faults are leader-based. This is not ...
