{"title":"基于交易历史汇总的以太坊Gas消耗预测评价","authors":"Sarah Bouraga","doi":"10.1109/BRAINS49436.2020.9223288","DOIUrl":null,"url":null,"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.","PeriodicalId":315392,"journal":{"name":"2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An Evaluation of Gas Consumption Prediction on Ethereum based on Transaction History Summarization\",\"authors\":\"Sarah Bouraga\",\"doi\":\"10.1109/BRAINS49436.2020.9223288\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":315392,\"journal\":{\"name\":\"2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BRAINS49436.2020.9223288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BRAINS49436.2020.9223288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Evaluation of Gas Consumption Prediction on Ethereum based on Transaction History Summarization
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.