Publication: Density Classification in Asynchronous ...
Master data
Title: | Density Classification in Asynchronous Random Networks with Faulty Nodes |
Subtitle: | |
Abstract: | This paper investigates distributed consensus fordensity classification in asynchronous random networks withfaulty nodes. We compare four different models of faultybehavior under randomized topology. Using computer simula-tions, we show that (a) faulty nodes’ impact depends on theirlocation and (b) faulty nodes with persistent failures inhibitconsensus stronger than commonly-used Byzantine faulty nodeswith random failures. We also show that (c) randomizationby Byzantine faulty nodes can be strongly beneficial forbinary consensus and (d) topology randomization can increaserobustness towards faulty node behavior. |
Keywords: |
Publication type: | Article in compilation (Authorship) |
Publication date: | 2014 (Print) |
Published by: |
Proceedings of the 22nd International Conference on Parallel, Distributed and Network-Based Processing
Proceedings of the 22nd International Conference on Parallel, Distributed and Network-Based Processing
(
IEEE;
)
to publication |
Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Version: | - |
Page: | pp. 256 - 261 |
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ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1109/PDP.2014.62 |
Homepage: | - |
Open access |
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Publication date: | 2014 |
ISBN: | - |
ISSN: | 1066-6192 |
Homepage: | https://mobile.aau.at/publications/gogolev-2014-pdp-density_classification.pdf |
Assignment
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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AT - 9020 Klagenfurt am Wörthersee |
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