Transactional dynamics in hyperledger fabric: A stochastic modeling and performance evaluation of permissioned blockchains

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. • Addresses the performance challenges of permissioned blockchains within Hyperledger Fabric by using a Stochastic Petri Net (SPN) model to evaluate system responsiveness and resource demands. • Validates the SPN model through extensive experimental analysis, confirming its accuracy in simulating real-world scenarios with a high level of confidence in its predictive capabilities. • Explores the significant impact of system configuration changes on key performance indicators, particularly focusing on mean response time (MRT) and throughput, thus aiding in system optimization. • Provides detailed sensitivity analysis highlighting the influence of block size and transaction arrival rates on performance metrics, thereby offering actionable insights for system administrators to optimize blockchain configurations.