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European Conference on Parallel Processing

Euro-Par 2019: Euro-Par 2019: Parallel Processing Workshops pp 179–190Cite as

Ethereum Transaction Performance Evaluation Using Test-Nets

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11997))

Abstract

Blockchain technologies can safely and neutrally store and process transaction data (including smart contracts) on the chain. Based on smart contracts, a special type of applications can be deployed, known as Decentralized Applications (DApps). Within existing Blockchain platforms, Ethereum is the most popular one adopted for DApp developments. The performance constraints of Ethereum dramatical impact usability of DApp. In this paper, we experimentally evaluate the performances of Ethereum from 3 types of tests: 1) Account balance query latency 2) Block generation time and 3) End-to-end transaction acceptance latency. The results show that the end-to-end transaction time in Ethereum is unstable. Consequently, the applications with low latency constraints and high frequency transaction requirements are not ready to be deployed unless off-chain transaction methods are considered.

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Notes

  1. 1.

    State of the DApps—DApp Statistics, DApp Statistics, 21-May-2019. [Online]. [Accessed: 21-May-2019].

  2. 2.

    Ethereum Network Status, Available: https://ethstats.net/. [Accessed: 24-May-2019]. Ethereum Network Status, Available: https://ethstats.net/. [Accessed: 24-May-2019].

  3. 3.

    Blockchain Infrastructure for the Decentralised Web, Available: https://www.parity.io/.

  4. 4.

    Go Ethereum, Available: https://geth.ethereum.org/.

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Acknowledgements

This paper has received financial support from the European Union Horizon 2020 research and innovation programme under grant agreement No. 700071 for the PROTECTIVE project and from Science Foundation Ireland (SFI) under Grant Number SFI 16/RC/3918, co-funded by the European Regional Development Fund.

Author information

Authors and Affiliations

  1. Software Research Institute, Athlone Institute of Technology, Dublin Road, Athlone, Co. Westmeath, Ireland

    Lin Zhang, Brian Lee, Yuhang Ye & Yuansong Qiao

Authors
  1. Lin Zhang
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  2. Brian Lee
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  3. Yuhang Ye
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  4. Yuansong Qiao
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Corresponding author

Correspondence to Lin Zhang .

Editor information

Editors and Affiliations

  1. Gesellschaft für Wissenschaftliche Datenverarbeitung mbH, Göttingen, Germany

    Ulrich Schwardmann

  2. Gesellschaft für Wissenschaftliche Datenverarbeitung mbH, Göttingen, Germany

    Christian Boehme

  3. CiTIUS, Santiago de Compostela, Spain

    Dora B. Heras

  4. University of Rome "Tor Vergata", Rome, Italy

    Valeria Cardellini

  5. Inria Bordeaux Sud-Ouest, Talence, France

    Emmanuel Jeannot

  6. Engineering Sardegna, Cagliari, Italy

    Antonio Salis

  7. University of Turin, Torino, Italy

    Claudio Schifanella

  8. University College Dublin, Dublin, Ireland

    Ravi Reddy Manumachu

  9. DLR-AS, Göttingen, Germany

    Dieter Schwamborn

  10. University of Pisa, Pisa, Italy

    Laura Ricci

  11. Ajou University, Suwon, Korea (Republic of)

    Oh Sangyoon

  12. RRZE Friedrich-Alexander-Universität, Erlangen, Germany

    Thomas Gruber

  13. ICAR-CNR, Napoli, Italy

    Laura Antonelli

  14. Tennessee Technological University, Cookeville, TN, USA

    Stephen L. Scott

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Zhang, L., Lee, B., Ye, Y., Qiao, Y. (2020). Ethereum Transaction Performance Evaluation Using Test-Nets. In: Schwardmann, U., et al. Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019. Lecture Notes in Computer Science(), vol 11997. Springer, Cham. https://doi.org/10.1007/978-3-030-48340-1_14

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  • DOI: https://doi.org/10.1007/978-3-030-48340-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-48339-5

  • Online ISBN: 978-3-030-48340-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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