2018/08/03 by Dongyan Huang, Xiaoli Ma, Huang, Dongyan +3 · 2 citations
Computer Science · #Age of Information Optimization #Blockchain Technology Applications and Security #Distributed #Distributed systems and fault tolerance #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Parallel #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.1808.01081
openalex publication_date 2018/08/03 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28
Consensus is one of the key problems in blockchains. There are many articles analyzing the performance of threat models for blockchains. But the network stability seems lack of attention, which in fact affects the blockchain performance. This paper studies the performance of a well adopted consensus algorithm, Raft, in networks with non-negligible packet loss rate. In particular, we propose a simple but accurate analytical model to analyze the distributed network split probability. At a given time, we explicitly present the network split probability as a function of the network size, the packet loss rate, and the election timeout period. To validate our analysis, we implement a Raft simulator and the simulation results coincide with the analytical results. With the proposed model, one can predict the network split time and probability in theory and optimize the parameters in Raft consensus algorithm.