摘要
In blockchains,transaction fees are fixed by the users.The probability for a transaction to be processed quickly increases with the fee level.In this paper,we study the transaction fee optimization problem in the Ethereum blockchain.This problem consists of determining the minimum price a user should pay so that its transaction is processed with a given probability in a given amount of time.To reach this goal,we define a new solution method based on a Monte Carlo approach to predict the probability that a transaction will be mined within a given time limit.Numerical results on real data highlight the quality of the results.
基金
This research has been funded by Utocat™.The authors would like to thank them for providing the tool to extract the data needed in order to test the model.
