An Evaluation Of Gas Consumption Prediction On Ethereum Based On Transaction History Summarization
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The author uses data about transactions on Ethereum as sources for studying the relationship between the historic of transactions for a given address and the amount of gas consumed for a transaction. The author combines data about transactions, and blocks to predict the gas usage for a transaction. Specifically, how much gas will be consumed for the next transaction, given the initiator’s transaction history. The results demonstrate the value of considering the transaction history for gas usage predictions.
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