{"title":"Performance Analysis of Hyperledger Fabric based Blockchain for Traceability in Food Supply Chain","authors":"Ayushi Srivastava, Yash Desai","doi":"10.1109/temsmet53515.2021.9768702","DOIUrl":null,"url":null,"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.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/temsmet53515.2021.9768702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.