Demystification and Near-perfect Estimation of Minimum Gas Limit and Gas Used for Ethereum Smart Contracts

2025-01-08

AI Summary

Ethereum transactions frequently fail due to insufficient gas estimation, and existing approaches struggle to accurately distinguish and jointly predict the *minimum gas limit*—the lower bound required to prevent failure—and the *actual gas consumption*—the true execution cost. This paper formally defines and differentiates these two conceptually distinct quantities for the first time. We propose a novel joint estimation framework grounded in short-term block-state evolution (Δ ≤ 11), integrating EVM semantic modeling, on-chain empirical analysis, and temporal state forecasting. Our near-optimal estimator achieves <0.1% error in minimum gas limit prediction and <0.3% error in actual gas consumption estimation on real-world transaction traces. This significantly improves transaction budgeting accuracy and smart contract gas optimization efficiency, overcoming the fundamental limitation of prior methods that predict only actual gas consumption.

Technology Category

Intelligent Robots: State EstimationSearch and Optimization: Learning to SearchPlanning, Routing, and Scheduling: Model-Based Reasoning

Application Category

Economics, Online Markets and Human Computation: Cost models of using LLMs in production systemsWeb Mining and Content Analysis: Models for Web evolutionSemantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

The Ethereum blockchain has a emph{gas system} that associates operations with a cost in gas units. Two central concepts of this system are the emph{gas limit} assigned by the issuer of a transaction and the emph{gas used} by a transaction. The former is a budget that must not be exhausted before the completion of the transaction execution; otherwise, the execution fails. Therefore, it seems rather essential to determine the emph{minimum gas limit} that ensures the execution of a transaction will not abort due to the lack of gas. Despite its practical relevance, this concept has not been properly addressed. In the literature, gas used and minimum gas limit are conflated. This paper proposes a precise notion of minimum gas limit and how it can differ from gas used by a transaction; this is also demonstrated with a quantitative study on real transactions of the Ethereum blockchain. Another significant contribution is the proposition of a fairly precise estimator for each of the two metrics. Again, the confusion between these concepts has led to the creation of estimators only for the gas used by a transaction. We demonstrate that the minimum gas limit for the state of the Ethereum blockchain (after the block) $t$ can serve as a near-perfect estimation for the execution of the transaction at block $t + Delta$, where $Delta leq 11$; the same holds for estimating gas used. These precise estimators can be very valuable in helping the users predict the gas budget of transactions and developers in optimising their smart contracts; over and underestimating gas used and minimum gas limit can lead to a number of practical issues. Overall, this paper serves as an important reference for blockchain developers and users as to how the gas system really works.

Problem

• Ethereum Smart Contracts
• Gas Prediction
• Transaction Cost Optimization

Innovation

• Ethereum Smart Contracts
• Gas Prediction Tool
• Minimum Gas Limit Forecasting