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...

Full description

Bibliographic Details
Main Authors: Dodo Khan, Low Tang Jung, Manzoor Ahmed Hashmani, Moke Kwai Cheong
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/3/915
_version_ 1797484774274629632
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.
first_indexed 2024-03-09T23:10:15Z
format Article
id doaj.art-ded2d78a36ae4f81949840efeaf66f66
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-09T23:10:15Z
publishDate 2022-01-01
publisher MDPI AG
record_format Article
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
work_keys_str_mv AT dodokhan empiricalperformanceanalysisofhyperledgerltsforsmallandmediumenterprises
AT lowtangjung empiricalperformanceanalysisofhyperledgerltsforsmallandmediumenterprises
AT manzoorahmedhashmani empiricalperformanceanalysisofhyperledgerltsforsmallandmediumenterprises
AT mokekwaicheong empiricalperformanceanalysisofhyperledgerltsforsmallandmediumenterprises