A4 Refereed article in a conference publication

Performance Analysis of Blockchain Platforms: Empirical Evaluation of Hyperledger Fabric and Ethereum




AuthorsDabbagh M, Kakavand M, Tahir M, Amphawan A

Conference nameIEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

Publication year2020

Journal name in sourceIEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020

DOIhttps://doi.org/10.1109/IICAIET49801.2020.9257811

Web address http://www.scopus.com/inward/record.url?eid=2-s2.0-85098071563&partnerID=MN8TOARS


Abstract

Recent years have witnessed a sizeable growth of Blockchain applications in enterprises. Blockchain is transforming the traditional approach of storing and managing data in a single location into a decentralized ledger. Although many industries are keen on adopting Blockchain technology for enhanced transaction transparency, the performance of the current Blockchain platforms is still perplexing to stakeholders. Therefore, this research aims to conduct an empirical study to evaluate the performance of two prominent Blockchain platforms, Hyperledger Fabric and Ethereum. The performance evaluation is based on measuring four metrics including success rate, average latency, throughput, and resource consumption. The experimental results of executing 100 transactions show that Hyperledger Fabric generally surpasses Ethereum against the four performance metrics. The presented results in this research would assist practitioners in their decision-making process of adopting the ideal Blockchain platform into their IT systems based on application requirements.



Last updated on 2024-26-11 at 11:59