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

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Résumé

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.

langue originaleAnglais
titre2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages49-50
Nombre de pages2
ISBN (Electronique)9781728170916
Les DOIs
Etat de la publicationPublié - sept. 2020
Evénement2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020 - Paris, France
Durée: 28 sept. 202030 sept. 2020

Série de publications

Nom2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020

Une conférence

Une conférence2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
PaysFrance
La villeParis
période28/09/2030/09/20

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