The article focuses on understanding Ethereum transaction processing times, which is crucial for the development of cost-effective decentralized applications (ÐApps).
Data was collected from sources like Etherscan, EthGasStation, and Google BigQuery to determine the typical processing times for transactions in Ethereum.
The accuracy of estimation models used by services like Etherscan and EthGasStation was evaluated, revealing room for improvement especially for cheaper transactions.
The study suggests that ÐApp developers should avoid very expensive transactions as their processing time does not significantly differ from expensive transactions.
A simple linear regression model developed outperformed existing services for very cheap and cheap transactions.
Further research can explore processing times under different settings and using alternative techniques, providing valuable insights for developers.
The study's findings help optimize the balance between transaction fees and processing speed, benefiting end-users' experience on the Ethereum blockchain.
The article stresses the need for more precise estimation services to enhance the efficiency of transaction processing in Ethereum.
Disclaimer: Opinions expressed in the article are solely those of the authors and do not represent the views of Huawei.
References include studies on smart contracts, blockchain technologies, and cryptocurrency-related topics, contributing to the existing body of research.