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

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-50
Number of pages2
ISBN (Electronic)9781728170916
DOIs
Publication statusPublished - Sep 2020
Event2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020 - Paris, France
Duration: 28 Sep 202030 Sep 2020

Publication series

Name2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020

Conference

Conference2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
CountryFrance
CityParis
Period28/09/2030/09/20

Keywords

  • Blockchain
  • Ethereum
  • Gas Consumption
  • Prediction
  • Regression

Fingerprint Dive into the research topics of 'An Evaluation of Gas Consumption Prediction on Ethereum based on Transaction History Summarization'. Together they form a unique fingerprint.

Cite this