BlockMeter: An application agnostic performance measurement framework for private blockchain platforms

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorAlom I.
dc.contributor.authorFerdous, Md Sadek
dc.contributor.authorChowdhury M.J.M.
dc.contributor.departmentBRAC University
dc.date.accessioned2026-09-13T05:49:26Z
dc.date.available2026-09-13T05:49:26Z
dc.date.issued2023-11-01
dc.description.abstractBlockchain Technology is an emerging technology with the potential to disrupt a number of application domains. Though blockchain platforms like Bitcoin and Ethereum have seen immense success and acceptability, their nature of being public and anonymous makes them unsuitable for many enterprise-level use-cases. To address this issue, Linux Foundation has started an open-source umbrella initiative, known as the Hyperledger Platforms. Under this initiative, a number of private blockchain platforms have been developed. However, the scalability and performance of these private blockchains must be examined to understand their suitability for different use cases. Recent researches and projects on performance benchmarking for private blockchain systems are specific to use cases and generally tied to a blockchain platform. In this article, we present BlockMeter, an application-agnostic performance benchmarking framework for private blockchain platforms. BlockMeter can be utilised to measure the key performance metrics of any application deployed on top of an external private blockchain application in real-time. In this article, we present the architecture of the framework and discuss its different implementation aspects. Then, to showcase the applicability of the framework, we use BlockMeter to evaluate the two most widely used Hyperledger platforms, Hyperledger Fabric and Hyperledger Sawtooth, against a number of use-cases.
dc.description.versionPublished
dc.format.extent3879-3891
dc.identifier.citationI. Alom, M. S. Ferdous and M. J. M. Chowdhury, "BlockMeter: An Application Agnostic Performance Measurement Framework for Private Blockchain Platforms," in IEEE Transactions on Services Computing, vol. 16, no. 6, pp. 3879-3891, Nov.-Dec. 2023, doi: 10.1109/TSC.2023.3293724.
dc.identifier.doi10.1109/TSC.2023.3293724
dc.identifier.issn2-s2.0-85164771467
dc.identifier.urihttps://hdl.handle.net/10361/29858
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/TSC.2023.3293724
dc.relation.ispartofIEEE Transactions on Services Computing
dc.relation.ispartofseriesIEEE Transactions on Services Computing
dc.relation.journalIEEE Transactions on Services Computing
dc.relation.urihttps://ieeexplore.ieee.org/document/10183358
dc.subjectBlockchain
dc.subjectPerformance
dc.subjectPerformance benchmarking
dc.subjectPerformance metrics
dc.subjectScalability
dc.subject.lcshBlockchains (Databases).
dc.subject.lcshHuman-computer interaction.
dc.titleBlockMeter: An application agnostic performance measurement framework for private blockchain platforms
dc.typeJournal
oaire.citation.issue6
oaire.citation.volume16
person.affiliation.nameSamsung R&D Institute Bangladesh
person.affiliation.nameBRAC University
person.affiliation.nameLa Trobe University
person.identifier.orcid0009-0001-6719-8256
person.identifier.orcid0000-0002-8361-4870
person.identifier.orcid0000-0003-4476-8882
person.identifier.scopus-author-id57250691100
person.identifier.scopus-author-id22034567100
person.identifier.scopus-author-id57201429296

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