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In this article we investigate randomized binary majority consensus in networks with random topologies and noise. Using computer simulations, we show that asynchronous Simple Majority rule can reach ≃ 100% convergence rate being randomized by an update-biased random neighbor selection and a small fraction of errors. Next, we show that such gains are robust towards additive noise and topology randomization.
Self-management of tree overlay networks for distributed applications is the challenge this paper addresses. Eight local adaptation strategies are introduced based on which autonomous self-organized agents establish connections that build and maintain a tree topology. Quantitative and qualitative experimental evaluation illustrates and compares the effects of adaptation strategies in the resulting...
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