Exploring the Characteristics of Hyperledger Fabric in Resource Consumption

Jeongsu Kim; Kyungwoon Lee; Gyeongsik Yang; Kwanhoon Lee; Jaemin Im; Chuck Yoo

doi:10.1109/BRAINS49436.2020.9223275

Exploring the Characteristics of Hyperledger Fabric in Resource Consumption

Jeongsu Kim, Kyungwoon Lee, Gyeongsik Yang, Kwanhoon Lee, Jaemin Im, Chuck Yoo

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	208-209
Number of pages	2
ISBN (Electronic)	9781728170916
DOIs	https://doi.org/10.1109/BRAINS49436.2020.9223275
Publication status	Published - 2020 Sept
Event	2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020 - Paris, France Duration: 2020 Sept 28 → 2020 Sept 30

Publication series

Name	2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020

Conference

Conference	2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
Country/Territory	France
City	Paris
Period	20/9/28 → 20/9/30

Bibliographical note

Funding Information:
∗This work was partly supported by Institute of Information & Communications Technology Planning & Evaluation grant funded by the Korea government (MSIT) (No. 2015-0-00280, (SW Starlab) Next generation cloud infra-software toward the guarantee of performance and security SLA) and by National Research Foundation of Korea funded by the MSIT (No. NRF-2019H1D8A2105513).

Publisher Copyright:
© 2020 IEEE.

Keywords

Blockchain
Hyperledger Fabric
Performance
Resource allocation
Resource consumption

ASJC Scopus subject areas

Management Information Systems
Artificial Intelligence
Computer Networks and Communications
Decision Sciences (miscellaneous)
Information Systems and Management

Access to Document

10.1109/BRAINS49436.2020.9223275

Cite this

Kim, J., Lee, K., Yang, G., Lee, K., Im, J., & Yoo, C. (2020). Exploring the Characteristics of Hyperledger Fabric in Resource Consumption. In 2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020 (pp. 208-209). Article 9223275 (2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BRAINS49436.2020.9223275

Exploring the Characteristics of Hyperledger Fabric in Resource Consumption. / Kim, Jeongsu; Lee, Kyungwoon; Yang, Gyeongsik et al.
2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 208-209 9223275 (2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, J, Lee, K, Yang, G, Lee, K, Im, J & Yoo, C 2020, Exploring the Characteristics of Hyperledger Fabric in Resource Consumption. in 2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020., 9223275, 2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 208-209, 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020, Paris, France, 20/9/28. https://doi.org/10.1109/BRAINS49436.2020.9223275

Kim J, Lee K, Yang G, Lee K, Im J, Yoo C. Exploring the Characteristics of Hyperledger Fabric in Resource Consumption. In 2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 208-209. 9223275. (2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020). doi: 10.1109/BRAINS49436.2020.9223275

Kim, Jeongsu ; Lee, Kyungwoon ; Yang, Gyeongsik et al. / Exploring the Characteristics of Hyperledger Fabric in Resource Consumption. 2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 208-209 (2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020).

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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.",

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Exploring the Characteristics of Hyperledger Fabric in Resource Consumption

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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