Transactional Dynamics in Hyperledger Fabric: A Stochastic Modeling and Performance Evaluation of Permissioned Blockchains
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866910825020653568 |
|---|---|
| author | Melo, Carlos Gonçalves, Glauber Silva, Francisco Airton Fé, Iure Moura, Ericksulino Soares, André Choi, Eunmi Min, Dugki Lee, Jae-Woo Nguyen, Tuan Anh |
| author_facet | Melo, Carlos Gonçalves, Glauber Silva, Francisco Airton Fé, Iure Moura, Ericksulino Soares, André Choi, Eunmi Min, Dugki Lee, Jae-Woo Nguyen, Tuan Anh |
| contents | Blockchain, often integrated with distributed systems and security enhancements, has significant potential in various industries. However, environmental concerns and the efficiency of consortia-controlled permissioned networks remain critical issues. We use a Stochastic Petri Net model to analyze transaction flows in Hyperledger Fabric networks, achieving a 95% confidence interval for response times. This model enables administrators to assess the impact of system changes on resource utilization. Sensitivity analysis reveals major factors influencing response times and throughput. Our case studies demonstrate that block size can alter throughput and response times by up to 200%, underscoring the need for performance optimization with resource efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_09276 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Transactional Dynamics in Hyperledger Fabric: A Stochastic Modeling and Performance Evaluation of Permissioned Blockchains Melo, Carlos Gonçalves, Glauber Silva, Francisco Airton Fé, Iure Moura, Ericksulino Soares, André Choi, Eunmi Min, Dugki Lee, Jae-Woo Nguyen, Tuan Anh Distributed, Parallel, and Cluster Computing Blockchain, often integrated with distributed systems and security enhancements, has significant potential in various industries. However, environmental concerns and the efficiency of consortia-controlled permissioned networks remain critical issues. We use a Stochastic Petri Net model to analyze transaction flows in Hyperledger Fabric networks, achieving a 95% confidence interval for response times. This model enables administrators to assess the impact of system changes on resource utilization. Sensitivity analysis reveals major factors influencing response times and throughput. Our case studies demonstrate that block size can alter throughput and response times by up to 200%, underscoring the need for performance optimization with resource efficiency. |
| title | Transactional Dynamics in Hyperledger Fabric: A Stochastic Modeling and Performance Evaluation of Permissioned Blockchains |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2502.09276 |