Hyperledger Fabric is a platform for permissioned blockchain networks that enables secure and auditable distributed data storage for enterprise applications. There is a growing interest in applications based on this platform, but its use requires the configuration of different blockchain parameters. Various configurations impact the system's non-functional qualities, especially performance and cost. In this article, we propose a Stochastic Petri Net to model the performance of the Hyperledger Fabric platform with different blockchain parameters, computer capacity, and transaction rates. We also present a set of case studies to demonstrate the feasibility of the proposed model. This model serves as a practical guide to help administrators of permissioned blockchain networks find the best performance for their applications. The proposed model allowed us to identify the block size that leads to a high mean response time (ranging from 1 to 25 seconds) caused by a change in the arrival rate.
@article{arxiv.2502.10509,
title = {A Comprehensive Hyperledger Fabric Performance Evaluation based on Resources Capacity Planning},
author = {Carlos Melo and Glauber Gonçalves and Francisco A. Silva and André Soares},
journal= {arXiv preprint arXiv:2502.10509},
year = {2025}
}