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- W4236066634 abstract "Dynamic distributed systems allow processes to join and leave the system, so the number of processes participating in a computation varies over time. Examples of dynamic distributed systems include peer-to-peer networks, sensor networks, mobile ad-hoc networks, and many more. A fundamental problem in any distributed system is to find consensus among the processes on a common input value. For dynamic distributed systems, it is not entirely clear how the problem should be formulated, as processes can join and leave before consensus is reached. We formulate and solve a strong version of the consensus problem in dynamic distributed systems in the presence of Byzantine faulty processes. We show that one cannot improve upon our algorithm in terms of the bound on the number of processes. For stochastic dynamic distributed systems, we determine the probability that a set of processes can reach strong consensus." @default.
- W4236066634 created "2022-05-12" @default.
- W4236066634 creator A5018681725 @default.
- W4236066634 creator A5049286738 @default.
- W4236066634 date "2013-12-01" @default.
- W4236066634 modified "2023-09-25" @default.
- W4236066634 title "Strong Dynamic Consensus in Byzantine Faulty Systems with Churn" @default.
- W4236066634 doi "https://doi.org/10.1109/icpads.2013.53" @default.
- W4236066634 hasPublicationYear "2013" @default.
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