A Comprehensive Hyperledger Fabric Performance Evaluation based on Resources Capacity Planning
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912232292483072 |
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| author | Melo, Carlos Gonçalves, Glauber Silva, Francisco A. Soares, André |
| author_facet | Melo, Carlos Gonçalves, Glauber Silva, Francisco A. Soares, André |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_10509 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Comprehensive Hyperledger Fabric Performance Evaluation based on Resources Capacity Planning Melo, Carlos Gonçalves, Glauber Silva, Francisco A. Soares, André Distributed, Parallel, and Cluster Computing 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. |
| title | A Comprehensive Hyperledger Fabric Performance Evaluation based on Resources Capacity Planning |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2502.10509 |