Performance Study for Improving Throughput in Hyperledger Fabric Blockchain Platform

S. Nanduri, Harish Vemula
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Abstract

Hyperledger Fabric (HLF) is a blockchain platform that supports immediate finality of transactions and can be used in various application domains such as Supply chain, Health etc. Researchers have reported significant improvement in throughput, in HLF v1.0, based on experiments carried out with certain optimizations when Kafka is used as a consensus mechanism. In our paper, we supplement the above study with a few more guidelines that improve the throughput. The guidelines have been derived on top of HLF platform v2.2.3 with Raft and SmartBFT consensus mechanisms and with different Tx sizes. Our experimental study has shown 3 to 5 times improvement when compared to default configuration settings of HLF v2.2.3 in the case of Raft.
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Hyperledger Fabric区块链平台提高吞吐量的性能研究
Hyperledger Fabric (HLF)是一个区块链平台,支持交易的即时完成,可用于各种应用领域,如供应链、健康等。研究人员报告说,在HLF v1.0中,当使用Kafka作为共识机制时,基于某些优化进行的实验,吞吐量显著提高。在我们的论文中,我们用更多的指导方针来补充上述研究,以提高吞吐量。该指南是基于HLF平台v2.2.3衍生的,具有Raft和SmartBFT共识机制,并且具有不同的Tx大小。我们的实验研究表明,在Raft的情况下,与HLF v2.2.3的默认配置设置相比,性能提高了3到5倍。
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