QiOi: Performance Isolation for Hyperledger Fabric

Kim, Jeongsu; Lee, Kyungwoon; Yang, Gyeongsik; Lee, Kwanhoon; Im, Jaemin

doi:10.3390/app11093870

Cited by 7 publications

(2 citation statements)

References 25 publications

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“…This feature makes it suitable for use cases requiring frequent parameter read and initialization operations. QiQi, a component-level performance isolation approach for Hyperledger Fabric, is presented by the authors in [38]. By monitoring Fabric's performance, this technique may dynamically adjust the CPU scheduling of Fabric components.…”

Section: Related Workmentioning

confidence: 99%

A Transaction Traffic Control Approach Based on Fuzzy Logic to Improve Hyperledger Fabric Performance

Lei

Kim

2022

Wireless Communications and Mobile Computing

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Blockchain is a potential technology for migrating the central server’s processing burden into a decentralized, secure, and transparent manner. This technology has had significant influence and revolution in various industries. However, the limited transaction processing power is a stumbling block, especially compared to proven alternatives like distributed database systems. This paper proposes a transaction traffic control approach based on fuzzy logic to enhance the blockchain network’s transaction processing capacity. The proposed fuzzy controller is implemented in the smart contract to adjust the transaction traffic flow in real-time network conditions automatically. An experiment environment is built on Hyperledger Fabric to demonstrate the design approach’s significance. According to the experiment results, the blockchain performance is significantly improved compared to the baseline. Furthermore, the proposed approach is integrated with an existing blockchain performance-enhancing tool, and the results indicate that the proposed approach is flexible enough to integrate with other existing approaches.

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Section: Related Workmentioning

confidence: 99%

A Transaction Traffic Control Approach Based on Fuzzy Logic to Improve Hyperledger Fabric Performance

Lei

Kim

2022

Wireless Communications and Mobile Computing

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“…For the workload, we use smallbank chaincode, which has been used in previous studies [26], [37]. Smallbank contains chaincodes that perform account openings, deposits, and money transfers.…”

Section: A Evaluation Setupmentioning

confidence: 99%

Resource Analysis of Blockchain Consensus Algorithms in Hyperledger Fabric

Yang

Lee

et al. 2022

IEEE Access

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In the blockchain network, the consensus algorithm is used to tolerate node faults with data consistency and integrity, so it is vital in all blockchain services. Previous studies on the consensus algorithm have the following limitations: 1) no resource consumption analysis was done, 2) performance analysis was not comprehensive in terms of blockchain parameters (e.g., number of orderer nodes, number of fault nodes, batch size, payload size), and 3) practical fault scenarios were not evaluated. In other words, the resource provisioning of consensus algorithms in clouds has not been addressed adequately. As many blockchain services are deployed in the form of blockchain-as-a-service (BaaS), how to provision consensus algorithms becomes a key question to be answered. This study presents a kernel-level analysis for the resource consumption and comprehensive performance evaluations of three major consensus algorithms (i.e., Kafka, Raft, and PBFT). Our experiments reveal that resource consumption differs up to seven times, which demonstrates the importance of proper resource provisioning for BaaS.

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