Do, T.Q. and Ta, M.T. (2023) Performance analysis of Ethereum smart contracts: A Study on Gas cost and block size impact. In: 22nd IEEE Statistical Signal Processing Workshop, SSP 2023, 2 July 2023 Through 5 July 2023, Hanoi.
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Blockchain technology has revolutionized the way transactions are conducted and verified in a decentralized manner. The performance analysis of Ethereum smart contract is crucial in understanding its limitations and potential for various applications. This study aimed to evaluate the gas cost of different sort algorithms and the impact of block size on the throughput of Ethereum network. The results showed that the gas cost of search algorithms such as quick sort and bubble sort varied significantly, with quick sort having a lower cost. Additionally, increasing the block size had a positive impact on the throughput of the Ethereum network, with a higher number of transactions processed per second. These findings provide valuable insights into the performance of Ethereum smart contracts and highlight the importance of considering gas cost and block size in the design and implementation of blockchain-based systems. © 2023 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/SSP53291.2023.10207974 |
| Uncontrolled Keywords: | Blockchain; Cost benefit analysis; Ethereum; Gases, Block sizes; Block-chain; Bubble sort; Decentralised; Gas cost; Low-costs; Performances analysis; Quick sorts; Search Algorithms; Sort algorithm, Smart contract |
| Additional Information: | Conference of 22nd IEEE Statistical Signal Processing Workshop, SSP 2023 ; Conference Date: 2 July 2023 Through 5 July 2023; Conference Code:191583 |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/10920 |
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