Lower Bounds for Randomized Consensus under a Weak Adversary
This paper studies the inherent trade-off between termination probability and total step complexity of randomized consensus algorithms. It shows that for every integer $k$, the probability that an $f$-resilient randomized consensus algorithm of $n$ processes does not terminate with agreement within...
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Format: | Article |
Language: | English |
Published: |
Society for Industrial and Applied Mathematics,
2011-07-20T20:35:39Z.
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Subjects: | |
Online Access: | Get fulltext |