Flow-level performance analysis of random wireless network using stochastic Petri Nets

Wang, Huijian; Lei, Lei; Zheng, Kan

doi:10.1109/ict.2016.7500427

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

2021

Publication Types

Select...

Other2

Article1

Relationship

Self Cite1

Independent2

Authors

Journals

Cited by 3 publications

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

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

Yuan

Zheng

Xiong

et al. 2020

Computer Communications

Self Cite

View full text Add to dashboard Cite

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 Hyperledgerbased system by using Generalised 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 running system to validate the proposed model and approaches.

show abstract