Qioi: Performance isolation for hyperledger fabric

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

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates the performance interference of blockchain services that run on cloud data centers. As the data centers offer shared computing resources to multiple services, the blockchain services can experience performance interference due to the co-located services. We explore the impact of the interference on Fabric performance and develop a new technique to offer performance isolation for Hyperledger Fabric, the most popular blockchain platform. First, we analyze the characteristics of the different components in Hyperledger Fabric and show that Fabric components have different impacts on the performance of Fabric. Then, we present QiOi, component-level performance isolation technique for Hyperledger Fabric. The key idea of QiOi is to dynamically control the CPU scheduling of Fabric components to cope with the performance interference. We im-plement QiOi as a user-level daemon and evaluate how QiOi mitigates the performance interference of Fabric. The evaluation results demonstrate that QiOi mitigates performance degradation of Fabric by 22% and improves Fabric latency by 2.5 times without sacrificing the performance of co-located services. In addition, we show that QiOi can support different ordering services and chaincodes with negligible overhead to Fabric performance.

Original languageEnglish
Article number3870
JournalApplied Sciences (Switzerland)
Volume11
Issue number9
DOIs
Publication statusPublished - 2021

Keywords

  • Blockchain
  • Hyperledger Fabric
  • Performance interference
  • Performance isolation, cloud computing
  • Private blockchain

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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