Title
Exploring the Characteristics of Hyperledger Fabric in Resource Consumption
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.
Year
DOI
Venue
2020
10.1109/BRAINS49436.2020.9223275
2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)
Keywords
DocType
ISBN
Blockchain,Hyperledger Fabric,Resource consumption,Performance,Resource allocation
Conference
978-1-7281-7091-6
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Jeongsu Kim100.34
Kyungwoon Lee232.41
Gyeongsik Yang356.68
Kwanhoon Lee400.34
Jaemin Im500.34
Chuck Yoo69820.58