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...

Full description

Bibliographic Details
Main Authors: Attiya, Hagit (Author), Censor-Hillel, Keren (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Society for Industrial and Applied Mathematics, 2011-07-20T20:35:39Z.
Subjects:
Online Access:Get fulltext