We present a Consensus algorithm that combines randomization and unreliable failure detection, two well-known techniques for solving Consensus in asynchronous systems with crash failures. This hybrid algorithm combines advantages from both approaches: it guarantees deterministic termination if the failure detector is accurate, and probabilistic termination otherwise. In executions with no failures or failure detector mistakes, the most likely ones in practice, Consensus is reached in only two asynchronous rounds.
CITATION STYLE
Aguilera, M. K., & Toueg, S. (1996). Randomization and failure detection: A hybrid approach to solve consensus. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1151, pp. 29–39). Springer Verlag. https://doi.org/10.1007/3-540-61769-8_3
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