Performance Analysis of Hyperledger Fabric based Blockchain for Traceability in Food Supply Chain

Ayushi Srivastava, Yash Desai
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引用次数: 1

Abstract

Blockchain, a decentralized technology, has found application in various sectors like banking, healthcare, energy and supply chain management. Hyperledger fabric (HLF), an open-source platform to implement blockchain technology (BKCT), is gaining widespread attention in the industries. However, the analysis of performance of platforms as the like of HLF has been done in a restricted manner in the past. The performance analysis will indicate the effectiveness of these platforms to implement BKCT. This kind of study is especially useful in the field of supply chain management. Thus, this study proposes a BKCT enabled traceability in a food supply chain and evaluates the impact of latest version of Hyperledger Fabric implementing BKCT on performance metrics such as throughput, latency and organizational scalability. To evaluate the goal of performance analysis, the tests are run on a blockchain based traceability model for a food supply chain. The results indicate that this version can support a wide range of transactions from 50 to 10,00,000 with minimum latency of 67.3 ms. This study will guide the practitioners of supply chain management in appropriate selection of a suitable blockchain platform.
基于超级账本结构的食品供应链可追溯性区块链性能分析
区块链是一种分散的技术,已经在银行、医疗保健、能源和供应链管理等各个领域得到了应用。Hyperledger fabric (HLF)是一个实现区块链技术(BKCT)的开源平台,正在引起业界的广泛关注。然而,过去对类似于HLF的平台的性能分析是有限的。性能分析将表明这些平台实施BKCT的有效性。这种研究在供应链管理领域尤其有用。因此,本研究提出了在食品供应链中启用BKCT的可追溯性,并评估了实施BKCT的最新版本超级账本结构对吞吐量、延迟和组织可扩展性等性能指标的影响。为了评估性能分析的目标,测试在基于区块链的食品供应链可追溯性模型上运行。结果表明,该版本可以支持50到10万个事务,最小延迟为67.3 ms。本研究将指导供应链管理从业者适当选择合适的区块链平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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