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.
|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.|
|Number of pages||2|
|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
|Name||2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020|
|Conference||2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020|
|Period||20/9/28 → 20/9/30|
Bibliographical noteFunding 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).
© 2020 IEEE.
- Hyperledger Fabric
- Resource allocation
- Resource consumption
ASJC Scopus subject areas
- Management Information Systems
- Artificial Intelligence
- Computer Networks and Communications
- Decision Sciences (miscellaneous)
- Information Systems and Management