Optimal Resource Utilization in Hyperledger Fabric: A Comprehensive SPN-Based Performance Evaluation Paradigm
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866917920766951424 |
|---|---|
| author | Melo, Carlos Gonçalves, Glauber Silva, Francisco A. Feitosa, Leonel Fé, Iure Soares, André Choi, Eunmi Nguyen, Tuan Anh Min, Dugki |
| author_facet | Melo, Carlos Gonçalves, Glauber Silva, Francisco A. Feitosa, Leonel Fé, Iure Soares, André Choi, Eunmi Nguyen, Tuan Anh Min, Dugki |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_08765 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimal Resource Utilization in Hyperledger Fabric: A Comprehensive SPN-Based Performance Evaluation Paradigm Melo, Carlos Gonçalves, Glauber Silva, Francisco A. Feitosa, Leonel Fé, Iure Soares, André Choi, Eunmi Nguyen, Tuan Anh Min, Dugki Distributed, Parallel, and Cluster Computing 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. |
| title | Optimal Resource Utilization in Hyperledger Fabric: A Comprehensive SPN-Based Performance Evaluation Paradigm |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2502.08765 |