Performance Modeling of PBFT Consensus Process for Permissioned Blockchain Network (Hyperledger Fabric)

Sukhwani, Harish; Martinez, Jose M.; Chang, Xiaolin; Trivedi, Kishor S.; Rindos, Andy; IEEE

Abstract

While Blockchain network brings tremendous benefits, there are concerns whether their performance would match up with the mainstream IT systems. This paper aims to investigate whether the consensus process using Practical Byzantine Fault Tolerance (PBFT) could be a performance bottleneck for networks with a large number of peers. We model the PBFT consensus process using Stochastic Reward Nets (SRN) to compute the mean time to complete consensus for networks up to 100 peers. We create a blockchain network using IBM Bluemix service, running a production-grade IoT application and use the data to parameterize and validate our models. We also conduct sensitivity analysis over a variety of system parameters and examine the performance of larger networks.

Más información

Título según WOS: ID WOS:000425924600028 Not found in local WOS DB
Título de la Revista: 2017 IEEE 36TH INTERNATIONAL SYMPOSIUM ON RELIABLE DISTRIBUTED SYSTEMS (SRDS)
Editorial: IEEE
Fecha de publicación: 2017
Página de inicio: 253
Página final: 255
DOI:

10.1109/SRDS.2017.36

Notas: ISI