An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems

Frank Christian Geyer, Hans Arno Jacobsen, Ruben Mayer, Peter Mandl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The emergence of numerous blockchain solutions, offering innovative approaches to optimise performance, scalability, privacy, and governance, complicates performance analysis. Reasons for the difficulty of benchmarking blockchains include, for example, the high number of system parameters to configure and the effort to deploy a blockchain network. In addition, performance data, which mostly comes from system vendors, is often opaque. We provide a reproducible evaluation of the performance of seven permissioned blockchain systems across different parameter settings. We employ an end-to-end approach, where the clients sending the transactions are fully involved in the data collection approach. Our results underscore the unique characteristics and limitations of the systems we examined. Due to the insights given, our work forms the basis for continued research to optimise the performance of blockchain systems.

Original languageEnglish
Title of host publicationMiddleware 2023 - Proceedings of the 24th ACM/IFIP International Middleware Conference
PublisherAssociation for Computing Machinery, Inc
Pages71-84
Number of pages14
ISBN (Electronic)9798400701771
DOIs
StatePublished - 27 Nov 2023
Externally publishedYes
Event24th ACM/IFIP International Middleware Conference, Middleware 2023 - Bologna, Italy
Duration: 11 Dec 202315 Dec 2023

Publication series

NameMiddleware 2023 - Proceedings of the 24th ACM/IFIP International Middleware Conference

Conference

Conference24th ACM/IFIP International Middleware Conference, Middleware 2023
Country/TerritoryItaly
CityBologna
Period11/12/2315/12/23

Keywords

  • benchmark
  • blockchain
  • decentralization
  • distributed ledger
  • latency
  • performance
  • reproducibility
  • throughput

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