The article examines the unclear transaction processing times in Ethereum, emphasizing their importance for cost-effective dApp development. By analyzing data from Etherscan, EthGasStation, and Google BigQuery, the authors aim to empirically determine typical transaction times and assess the accuracy of common estimation tools. Their findings reveal that developers should avoid high transaction fees as they do not significantly improve processing speed, suggesting a need for better tools and models to assist smart contract developers in improving user experience and transaction cost management.
Transactions are at the forefront on how information is exchanged on the blockchain. Yet, it is generally unclear how long transactions commonly take to be processed in Ethereum.
We collected data from Etherscan, EthGasStation, and Google BigQuery in order to empirically determine how long transactions tend to take in Ethereum.
Our results led us to conclude that ÐApp developers should typically avoid very expensive transactions, as there is no practical difference in their processing time compared to cheaper transactions.
Most importantly, the accuracy of these estimation services remains unclear, highlighting a gap in the tools available for smart contract developers.
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