Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises
The massive success of blockchain technology in Bitcoin is taking the world by storm by attracting vast acceptance from both the public and private sectors. Blockchain allows digital transactions between two parties without a third party as a broker. Blockchain is now applicable beyond fintech to va...
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MDPI AG
2022-01-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/22/3/915 |
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author | Dodo Khan Low Tang Jung Manzoor Ahmed Hashmani Moke Kwai Cheong |
author_facet | Dodo Khan Low Tang Jung Manzoor Ahmed Hashmani Moke Kwai Cheong |
author_sort | Dodo Khan |
collection | DOAJ |
description | The massive success of blockchain technology in Bitcoin is taking the world by storm by attracting vast acceptance from both the public and private sectors. Blockchain allows digital transactions between two parties without a third party as a broker. Blockchain is now applicable beyond fintech to various other industries. Among these, Hyperledger fabric has emerged as the most popular blockchain-based open-source permissioned platform targeting business applications. It has been used in over 400 proofs-of-concept blockchain and is well proven in applications, such as supply chain, healthcare, and so on. Despite the many obvious benefits observed in blockchain-enhanced platforms, there still exist technical challenges in scalability, causing performance deficiency, which includes latency and throughput. There is an exigent need to improve the current blockchain-based applications to have the blockchain nodes be scalable without compromising the blockchain performance. In this study, we present the impact of workload variance of up to 1000 transactions with the setup of 20 blockchain nodes in the Hyperledger LTS platform. The evaluation metrics are transaction success and failure rate, throughput, and latency in the blockchain. The transaction throughput was found to be consistent with the increasing workload on a constant number of nodes. However, it showed a declining trend with an increasing number of nodes. As far as the latency, it was in tandem with the increased workload and the number of nodes. We, therefore, conclude that the LTS version is suitable for small and medium enterprises that do not scale up. |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T23:10:15Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-ded2d78a36ae4f81949840efeaf66f662023-11-23T17:47:29ZengMDPI AGSensors1424-82202022-01-0122391510.3390/s22030915Empirical Performance Analysis of Hyperledger LTS for Small and Medium EnterprisesDodo Khan0Low Tang Jung1Manzoor Ahmed Hashmani2Moke Kwai Cheong3Department of Computer and Information Science, Universiti Teknologi PETRONAS (UTP), Seri Iskandar 32610, MalaysiaDepartment of Computer and Information Science, Universiti Teknologi PETRONAS (UTP), Seri Iskandar 32610, MalaysiaDepartment of Computer and Information Science, Universiti Teknologi PETRONAS (UTP), Seri Iskandar 32610, MalaysiaDepartment of Computer and Information Science, Universiti Teknologi PETRONAS (UTP), Seri Iskandar 32610, MalaysiaThe massive success of blockchain technology in Bitcoin is taking the world by storm by attracting vast acceptance from both the public and private sectors. Blockchain allows digital transactions between two parties without a third party as a broker. Blockchain is now applicable beyond fintech to various other industries. Among these, Hyperledger fabric has emerged as the most popular blockchain-based open-source permissioned platform targeting business applications. It has been used in over 400 proofs-of-concept blockchain and is well proven in applications, such as supply chain, healthcare, and so on. Despite the many obvious benefits observed in blockchain-enhanced platforms, there still exist technical challenges in scalability, causing performance deficiency, which includes latency and throughput. There is an exigent need to improve the current blockchain-based applications to have the blockchain nodes be scalable without compromising the blockchain performance. In this study, we present the impact of workload variance of up to 1000 transactions with the setup of 20 blockchain nodes in the Hyperledger LTS platform. The evaluation metrics are transaction success and failure rate, throughput, and latency in the blockchain. The transaction throughput was found to be consistent with the increasing workload on a constant number of nodes. However, it showed a declining trend with an increasing number of nodes. As far as the latency, it was in tandem with the increased workload and the number of nodes. We, therefore, conclude that the LTS version is suitable for small and medium enterprises that do not scale up.https://www.mdpi.com/1424-8220/22/3/915blockchainHyperledger fabricthroughputlatencyscalabilityworkload variance |
spellingShingle | Dodo Khan Low Tang Jung Manzoor Ahmed Hashmani Moke Kwai Cheong Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises Sensors blockchain Hyperledger fabric throughput latency scalability workload variance |
title | Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises |
title_full | Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises |
title_fullStr | Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises |
title_full_unstemmed | Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises |
title_short | Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises |
title_sort | empirical performance analysis of hyperledger lts for small and medium enterprises |
topic | blockchain Hyperledger fabric throughput latency scalability workload variance |
url | https://www.mdpi.com/1424-8220/22/3/915 |
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