Performance Modeling of Hyperledger Fabric 2.0

EasyChair Preprint 8154

Abstract

Hyperledger Fabric has become one of the most widely used consortium blockchain frameworks with the ability to execute custom smart contracts. Performance modeling and evaluation of the network is necessary for the performance estimation and optimization of the Fabric blockchain platform. While the compatibility and effectiveness of existing performance modeling methods need to be improved. For this reason, we proposed a compatible performance modeling method using queuing theory for Fabric considering the limited transaction pool. Taking the 2.0 version of Fabric as a case, we have established the model for the transaction process in the Fabric network. By analyzing the two-dimensional continuous-time Markov process of this model, we solved the system stationary equation and obtained the analytical expressions of performance indicators such as the system throughput rate, the system steady-state queue length, and the system's average response time. We collected the required parameter values through the official test suite. An extensive analysis and simulation was performed to verify the accuracy and the effectiveness of the model and formula. We believe that this method can be extended to a wide range of scenarios in other blockchain systems.

Keyphrases: Blockchain, Hyperledger Fabric, performance modeling, queuing theory, simulation

@booklet{EasyChair:8154,
  author    = {Ou Wu and Shanshan Li and Liwen Liu and He Zhang and Xin Zhou and Qinghua Lu},
  title     = {Performance Modeling of Hyperledger Fabric 2.0},
  howpublished = {EasyChair Preprint 8154},
  year      = {EasyChair, 2022}}