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Exploring the Characteristics of Hyperledger Fabric in Resource Consumption

Authors :
Gyeongsik Yang
Kwanhoon Lee
Chuck Yoo
Jaemin Im
Jeongsu Kim
Kyungwoon Lee
Source :
BRAINS
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

As blockchain applications are available in clouds, the resource allocation of blockchain becomes an important issue. This paper investigates the resource consumption of Hyperledger Fabric that is a popular blockchain framework. As Fabric consists of several components, this paper characterizes the resource consumption of Fabric components. Then, we attempt to control the CPU allocation of the components and explore the performance implications. Our evaluation results show that the “proper” CPU allocation of Kafka component reduces the CPU usage of the overall Fabric by 14% but the performance of Fabric does not decrease. Our result suggests that clouds can benefit from such control of CPU allocation to Fabric.

Details

Database :
OpenAIRE
Journal :
2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)
Accession number :
edsair.doi...........98a139ced01fdd074e48e4dace0b4ca9
Full Text :
https://doi.org/10.1109/brains49436.2020.9223275