Hyperledger Fabric stands as a leading framework for permissioned blockchain systems, ensuring data security and auditability for enterprise applications. As applications on this platform grow, understanding its complex configuration concerning various blockchain parameters becomes vital. These configurations significantly affect the system's performance and cost. In this research, we introduce a Stochastic Petri Net (SPN) model to analyze Hyperledger Fabric's performance, considering variations in blockchain parameters, computational resources, and transaction rates. We provide case studies to validate the utility of our model, aiding blockchain administrators in determining optimal configurations for their applications. A key observation from our model highlights the block size's role in system response time. We noted an increased mean response time, between 1 to 25 seconds, due to variations in transaction arrival rates.
@article{arxiv.2502.08765,
title = {Optimal Resource Utilization in Hyperledger Fabric: A Comprehensive SPN-Based Performance Evaluation Paradigm},
author = {Carlos Melo and Glauber Gonçalves and Francisco A. Silva and Leonel Feitosa and Iure Fé and André Soares and Eunmi Choi and Tuan Anh Nguyen and Dugki Min},
journal= {arXiv preprint arXiv:2502.08765},
year = {2025}
}