Measuring performances and footprint of blockchains with BCTMark: a case study on Ethereum smart contracts energy consumption

Autor: Dimitri Saingre, Jean-Marc Menaud, Thomas Ledoux
Přispěvatelé: Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Software Stack for Massively Geo-Distributed Infrastructures (LS2N - équipe STACK), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), GRID5000, IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Software Stack for Massively Geo-Distributed Infrastructures (STACK), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Cluster Computing
Cluster Computing, 2021, ⟨10.1007/s10586-021-03441-x⟩
Cluster Computing, Springer Verlag, In press
HAL
ISSN: 1386-7857
1573-7543
Popis: International audience; A rich ecosystem of blockchain-based projects has emerged since the introduction of Bitcoin in 2008. New protocols seek to improve the performances of blockchain systems. In particular, the energy consumption of blockchains has been particularly decried. Unfortunately, those new proposals are often evaluated with ad hoc tools and experimental environments. Therefore, reproducibility and comparison of these new contributions with the state of the art of blockchain technologies are complicated. To the best of our knowledge, only a few tools partially address the design of a generic benchmarking of blockchain technologies (e.g., load generation). This paper introduces BCTMark, a generic framework for benchmarking blockchain technologies on an emulated network in a reproducible way. Based on this novel framework, we studied a key aspect of modern blockchains' energy consumption: smartcontract execution. Based on experiments and the analysis of one year of real-world Ethereum transactions, we measured and modeled smart-contracts' energy consumption on Ethereum. Furthermore, this study details how the replication of contract calls execution can impact their energy cost. In particular, we give insights on the energy consumed by smart-contracts on Ethereum over one year.
Databáze: OpenAIRE