Transactional dynamics in hyperledger fabric: A stochastic modeling and performance evaluation of permissioned blockchains
Carlos Melo,
Glauber Gonçalves,
Francisco Airton Silva,
Iure Fé,
Ericksulino Moura,
André Soares,
Eunmi Choi,
Dugki Min,
Jae-Woo Lee,
Tuan Anh Nguyen
Affiliations
Carlos Melo
Laboratory of Applied Research to Distributed Systems (PASID), Federal University of Piaui (UFPI), Picos, Piaui 64607-670, Brazil
Glauber Gonçalves
Laboratory of Applied Research to Distributed Systems (PASID), Federal University of Piaui (UFPI), Picos, Piaui 64607-670, Brazil
Francisco Airton Silva
Laboratory of Applied Research to Distributed Systems (PASID), Federal University of Piaui (UFPI), Picos, Piaui 64607-670, Brazil
Iure Fé
Laboratory of Applied Research to Distributed Systems (PASID), Federal University of Piaui (UFPI), Picos, Piaui 64607-670, Brazil
Ericksulino Moura
Laboratory of Applied Research to Distributed Systems (PASID), Federal University of Piaui (UFPI), Picos, Piaui 64607-670, Brazil
André Soares
Laboratory of Applied Research to Distributed Systems (PASID), Federal University of Piaui (UFPI), Picos, Piaui 64607-670, Brazil
Eunmi Choi
School of Software, College of Computer Science, Kookmin University, Seoul 02707, South Korea
Dugki Min
Department of Artificial Intelligence, Graduate School, Konkuk University, Seoul 05029, South Korea; Corresponding authors.
Jae-Woo Lee
Department of Mechanical and Aerospace Engineering, Konkuk University, Seoul 05029, South Korea; Corresponding authors.
Tuan Anh Nguyen
Department of Artificial Intelligence, Graduate School, Konkuk University, Seoul 05029, South Korea; Konkuk Aerospace Design-Airworthiness Institute (KADA), Konkuk University, Seoul 05029, South Korea; Corresponding author at: .
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.
