Performance Evaluation of Data Transactions in Blockchain



Blockchain, Architectures, Smart contracts, Performance analysis, Application


Blockchain is an emerging technology, with a decentralized infrastructure avoiding third party dependency. Smart
contracts are one of the features of Ethereum blockchain, capable of running distributed applications in unreliable
environments, enabling process automation and being one of the most sought technologies due to the high
customization added to transactions. However, little is known about predicting the cost and execution time behavior of blockchain-based system transactions. This work aims to evaluate the performance of an Ethereum network through an application designed to analyze the cost and time of transactions that store characters in the blockchain. To meet the proposed objective, we designed an application for performing transactions with data inclusion and query on a blockchain, collecting time and cost data. As main conclusions of this work we have: the Ethereum platform proved to be inconstant in relation to the processing time of transactions on the blockchain and the application developed based on blockchain can provide a mechanism to evaluate text-type operations on Ethereum network.


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Author Biographies

Antonio Welligton dos Santos Abreu, Universidade Federal do Ceará

Mestre em Computação pela Universidade Federal do Ceará. Especialização em Redes de Computadores pelo Centro Universitário Católica de Quixadá. Bacharel em Sistemas de Informação pela Universidade Federal do Ceará.  Atualmente trabalhando no Centro Universitário Católica de Quixadá como Analista de Tecnologia da Informação, realizando suporte para o Sistema TOTVS RM (ERP). Atua também como Software Developer onde possui as certificações Oracle Certified Professional Java SE 6 Programmer (OCJP) e Oracle Certified Professional Java EE 5 Web
Component Developer (OCWCD), tendo interesse nas áreas de Sistemas ERP, Banco de Dados, Engenharia de Software e Desenvolvimento Web.

Emanuel Ferreira Coutinho, Universidade Federal do Ceará

Professor Adjunto na Universidade Federal do Ceará (UFC), Campus Quixadá. Graduação em Ciência da Computação pela Universidade Estadual do Ceará (2000). Mestre em Ciência da Computação pela Universidade Estadual do Ceará (2003), trabalhando com grafos, escalonamento e roteamento de veículos. Doutor em Ciência da Computação pela Universidade Federal do Ceará (2014), trabalhando com Computação em Nuvem, métricas e análise de desempenho da elasticidade. Suas áreas de interesse são Computação em Nuvem, Análise de Desempenho, Sistemas de Informação e Engenharia de Software.

Carla Ilane Moreira Bezerra, Universidade Federal do Ceará

Professora adjunta da Universidade Federal do Ceará (UFC) do Campus Quixadá e é membro do Programa de Pós Graduação em Computação (PCOMP) do Campus UFC Quixadá. Doutorado em Ciência da Computação pela Universidade Federal do Ceará - UFC (2016) e mestrado em Informática Aplicada pela Universidade de Fortaleza - UNIFOR (2009). Atuou como Analista de Sistemas com experiência nas áreas de Melhoria de Processos de Software e Testes de Software. Atuou também como implementadora MPSBr pela UNIFOR em diversas empresas do Ceará.  Possui interesse em Qualidade de Software, Linhas de Produto de Software, Engenharia de Software Experimental,
Refatoração, Manutenção de Software e Sistemas Autoadaptativos.


A. Bosu, A. Iqbal, R. Shahriyar, and P. Chakraborty, “Understanding the motivations, challenges and needs of blockchain software developers: A survey,” Empirical Software Engineering, vol. 24, no. 4, pp. 2636–2673, 2019.

D. Macrinici, C. Cartofeanu, and S. Gao, “Smart contract applications within blockchain technology: A systematic mapping study,” Telematics and Informatics, vol. 35, no. 8, pp. 2337 – 2354, 2018.

S. Huh, S. Cho, and S. Kim, “Managing iot devices using blockchain platform,” in 2017 19th International Conference on Advanced Communication Technology (ICACT), pp. 464–467, Feb 2017.

K. Korpela, J. Hallikas, and T. Dahlberg, “Digital supply chain transformation toward blockchain integration,” in 50th Hawaii International Conference on System Sciences (HICSS), jan 2017.

A. Azaria, A. Ekblaw, T. Vieira, and A. Lippman, “Medrec: Using blockchain for medical data access and permission management,” in 2016 2nd International Conference on Open and Big Data (OBD), pp. 25–30, Aug 2016.

P. Thakkar, S. Nathan, and B. Viswanathan, “Performance benchmarking and optimizing hyperledger fabric blockchain platform,” in 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 264–276, Sep. 2018.

M. Jakobsson and A. Juels, Proofs of Work and Bread Pudding Protocols (Extended Abstract), pp. 258–272. Boston, MA: Springer US, 1999.

M. Nofer, P. Gomber, O. Hinz, and D. Schiereck, “Blockchain,” Business & Information Systems Engineering, vol. 59, pp. 183–187, Jun 2017.

N. Rifi, E. Rachkidi, N. Agoulmine, and N. C. Taher, “Towards using blockchain technology for ehealth data access management,” in 2017Fourth International Conference on Advances in Biomedical Engineering (ICABME), pp. 1–4, Oct 2017.

G. Wood, “Ethereum: A secure decentralised generalised transaction ledger - v. 3e36772,” 2019.

N. Szabo, “Smart contracts.”, 1994. Online; acces-sed Oct-2019.

M. Alharby and A. van Moorsel, “Blockchain-based smart contracts: A systematic mapping study,” arXiv preprint arXiv:1710.06372, 2017.

K. Christidis and M. Devetsikiotis, “Blockchains and smart contracts for the internet of things,” IEEE Access, vol. 4, pp. 2292–2303, 2016.

K. Delmolino, M. Arnett, A. Kosba, A. Miller, and E. Shi, “Step by step towards creating a safe smart contract: Lessons and insights from a cryptocurrency lab,” in Financial Cryptography and Data Security (J. Clark, S. Meiklejohn, P. Y. Ryan, D. Wallach, M. Brenner, andK. Rohloff, eds.), (Berlin, Heidelberg), pp. 79–94, Springer BerlinHeidelberg, 2016.

A. Aldweesh, M. Alharby, E. Solaiman, and A. van Moorsel, “Performance benchmarking of smart contracts to assess miner incentives in ethereum,” in 2018 14th European Dependable Computing Conference (EDCC), pp. 144–149, Sep. 2018.

Z. Dong, E. Zheng, Y. Choon, and A. Y. Zomaya, “Dagbench: Aperformance evaluation framework for dag distributed ledgers,” in 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), pp. 264–271, July 2019.

A. Meeuw, S. Schopfer, and F. Wortmann, “Experimental bandwidth benchmarking for p2p markets in blockchain managed microgrids,” Energy Procedia, vol. 159, pp. 370 – 375, 2019. Renewable EnergyIntegration with Mini/Microgrid.

E. F. Coutinho, D. J. H. Maia, W. L. B. Bezerra, and A. W. dos Santos Abreu, “Avaliando o custo de contratos inteligentes em aplicações blockchain por meio de ambientes de simulação,” in Anais do II Workshop em Modelagem e Simulação de Sistemas Intensivos emSoftware, (Porto Alegre, RS, Brasil), pp. 56–65, SBC, 2020.

Y.Majuri, “Simplyexplained:Smartcontracts.”, 2018. Online; accessed Oct-2019.

X. Xu, I. Weber, and M. Staples, Blockchain in Software Architecture, pp. 83–92. Cham: Springer International Publishing, 2019.

S. Chen, J. Zhang, R. Shi, J. Yan, and Q. Ke, “A comparative testing on performance of blockchain and relational database: Foundation for applying smart technology into current business systems,” in Distributed, Ambient and Pervasive Interactions: Understanding Humans (N. Streitzand S. Konomi, eds.), (Cham), pp. 21–34, Springer International Publishing, 2018.



How to Cite

Welligton dos Santos Abreu, A., Coutinho, E. F., & Ilane Moreira Bezerra, C. (2021). Performance Evaluation of Data Transactions in Blockchain. IEEE Latin America Transactions, 100(XXX). Retrieved from