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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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Autores principales: Khan, Dodo, Jung, Low Tang, Hashmani, Manzoor Ahmed, Cheong, Moke Kwai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838451/
https://www.ncbi.nlm.nih.gov/pubmed/35161661
http://dx.doi.org/10.3390/s22030915
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author Khan, Dodo
Jung, Low Tang
Hashmani, Manzoor Ahmed
Cheong, Moke Kwai
author_facet Khan, Dodo
Jung, Low Tang
Hashmani, Manzoor Ahmed
Cheong, Moke Kwai
author_sort Khan, Dodo
collection PubMed
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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spelling pubmed-88384512022-02-13 Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises Khan, Dodo Jung, Low Tang Hashmani, Manzoor Ahmed Cheong, Moke Kwai Sensors (Basel) Article 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. MDPI 2022-01-25 /pmc/articles/PMC8838451/ /pubmed/35161661 http://dx.doi.org/10.3390/s22030915 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khan, Dodo
Jung, Low Tang
Hashmani, Manzoor Ahmed
Cheong, Moke Kwai
Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838451/
https://www.ncbi.nlm.nih.gov/pubmed/35161661
http://dx.doi.org/10.3390/s22030915
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