Performance modeling and analysis of a Hyperledger-based system using GSPN

【Author】 Yuan, Pu; Zheng, Kan; Xiong, Xiong; Zhang, Kuan; Lei, Lei

【Source】COMPUTER COMMUNICATIONS

【影响因子】5.047

【Abstract】As a highly scalable permissioned blockchain platform, Hyperledger Fabric supports a wide range of industry use cases ranging from governance to finance. In this paper, we propose a model to analyze the performance of a Hyperledger-based system by using Generalized Stochastic Petri Nets (GSPN). This model decomposes a transaction flow into multiple phases and provides a simulation-based approach to obtain the system latency and throughput with a specific arrival rate. Based on this model, we analyze the impact of different configurations of ordering service on system performance to find out the bottleneck. Moreover, a mathematical configuration selection approach is proposed to determine the best configuration which can maximize the system throughput. Finally, extensive experiments are performed on a real-time system to validate the proposed model and approaches.

【Keywords】Blockchain; Hyperledger fabric; Performance modeling; Generalized Stochastic Petri Nets

【发表时间】2020 1-Mar

【收录时间】2022-01-02

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