Dependency of the Convergence Rate Mean Extent of Variation on the Repetitions Number in Strongly Connected Topologies
This paper deals with the stochastic distributed algorithm – the push-sum protocol. We examine the effect of experiments repetitions on the mean of the convergence rates quantities. The main goal of the executed experiments is to show how many repetitions of the push-sum protocol are necessary to achieve a statistically credible representative of the obtained set of data. Within this paper, we have focused on strongly connected structures.
KeywordsDistributed computing, The push-sum protocol, The convergence rate mean extent of variation
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 22nd Conference STUDENT EEICT 2016. s. 569-573. ISBN 978-80-214-5350-0
- Student EEICT 2016