P. Urbán (Japan) and A. Schiper (Switzerland)
simulation tools and techniques, Java-based simulation, distributed consensus, benchmarks
Protocols that solve agreement problems are essential building blocks for fault tolerant distributed systems. While many protocols have been published, little has been done to analyze their performance, especially the perfor mance of their fault tolerance mechanisms. In this paper, we compare two consensus algorithms with different com munication schemes: one is centralized and the other de centralized. The elements of the simulation study form a generic methodology for evaluating consensus algorithms. The results show that the centralized algorithm performs better in some environments, in spite of the fact that the decentralized algorithm nishes in fewer communication steps. The reason is that it generates less contention.
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