NDLI: Strong Dynamic Consensus in Byzantine Faulty Systems with Churn

Content Provider	IEEE Xplore Digital Library
Author	Klappenecker, A. Hyunyoung Lee
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA (Klappenecker, A.; Hyunyoung Lee)
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.
Sponsorship	IEEE Tech. Comm. Distrib. Process.
Starting Page	323
Ending Page	330
File Size	417370
Page Count	8
File Format	PDF
ISBN	9781479920815
ISSN	15219097
DOI	10.1109/ICPADS.2013.53
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Vegetation Algorithm design and analysis Stochastic processes Analytical models Peer-to-peer computing Message passing Markov Process Dynamic Distributed Systems Strong Consensus Strong Dynamic Consensus
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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