Khan, D. and Jung, L.T. and Hashmani, M.A. and Cheong, M.K. (2022) Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises. Sensors, 22 (3). ISSN 14248220
Full text not available from this repository.Abstract
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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Item Type: | Article |
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Additional Information: | cited By 14 |
Uncontrolled Keywords: | Blockchain; Distributed ledger; Failure analysis; Supply chains, Block-chain; Empirical performance analysis; Hyperledg fabric; Latency; Open-source; Performance; Public and private sector; Small-and-medium enterprise; Third parties; Workload variance, Scalability, commercial phenomena; culture medium; health care delivery; technology, Blockchain; Commerce; Culture Media; Delivery of Health Care; Technology |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 19 Dec 2023 03:23 |
Last Modified: | 19 Dec 2023 03:23 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/17128 |