Robustness of Self-Organizing Consensus Algorithms: Initial Results from a Simulation-Based Study - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Robustness of Self-Organizing Consensus Algorithms: Initial Results from a Simulation-Based Study

Résumé

This short paper studies distributed consensus algorithms with focus on their robustness against communication errors. We report simulation results to verify and assess existing algorithms. Gacs-Kurdyumov-Levin and simple majority rule are evaluated in terms of convergence rate and speed as a function of noise and network topology.
Fichier principal
Vignette du fichier
978-3-642-28583-7_11_Chapter.pdf (743.68 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01527536 , version 1 (24-05-2017)

Licence

Paternité

Identifiants

Citer

Alexander Gogolev, Christian Bettstetter. Robustness of Self-Organizing Consensus Algorithms: Initial Results from a Simulation-Based Study. 6th International Workshop on Self-Organizing Systems (IWSOS), Mar 2012, Delft, Netherlands. pp.104-108, ⟨10.1007/978-3-642-28583-7_11⟩. ⟨hal-01527536⟩
37 Consultations
93 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More