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

作者: Sarah Bouraga

DOI: 10.1109/BRAINS49436.2020.9223288

关键词: Value (economics)Automatic summarizationDatabaseDatabase transactionGas consumptionComputer science

摘要: The author uses data about transactions on Ethereum as sources for studying the relationship between historic of a given address and amount gas consumed transaction. combines transactions, blocks to predict usage Specifically, how much will be next transaction, initiator’s transaction history. results demonstrate value considering history predictions.

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