An Evaluation of Gas Consumption Prediction on Ethereum based on Transaction History Summarization

Abstract

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.