An Introductory Study on the Power Consumption Overhead of ERC-4337 Bundlers

2025-11-20

AI Summary

Prior research has overlooked the implicit energy overhead introduced by blockchain scalability middleware—specifically, bundlers in the ERC-4337 standard—as Ethereum access intermediaries. Method: We conduct fine-grained, real-workload power measurements using SmartWatts and RAPL hardware interfaces to empirically quantify the active power consumption attributable to bundlers. Contribution/Results: Our experiments reveal that bundlers impose significant, measurable additional power consumption during routine operation; their energy draw scales linearly with transaction aggregation frequency and signature validation complexity. This work fills a critical gap in the energy-efficiency evaluation of decentralized application scaling solutions, providing the first empirical evidence and quantitative benchmarks for sustainable design of Ethereum Layer 2 systems and account abstraction architectures.

Technology Category

• Machine Learning: Hardware-aware ML
• Data Mining & Knowledge Management: Scalability, Parallel & Distributed Systems
• Multiagent Systems: Mechanism Design

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: Economic aspects of blockchain and cryptocurrencies
• Security and Privacy: Blockchains and distributed ledgers

Abstract

Ethereum is currently the main blockchain ecosystem providing decentralised trust guarantees for applications ranging from finance to e-government. A common criticism of blockchain networks has been their energy consumption and operational costs. The switch from Proof-of-Work (PoW) protocol to Proof-of-Stake (PoS) protocol has significantly reduced this issue, though concerns remain, especially with network expansions via additional layers. The ERC-4337 standard is a recent proposal that facilitates end-user access to Ethereum-backed applications. It introduces a middleware called a bundler, operated as a third-party service, where part of its operational cost is represented by its power consumption. While bundlers have served over 500 million requests in the past two years, fewer than 15 official bundler providers exist, compared to over 100 regular Ethereum access providers. In this paper, we provide a first look at the active power consumption overhead that a bundler would add to an Ethereum access service. Using SmartWatts, a monitoring system leveraging Running Average Power Limit (RAPL) hardware interfaces, we empirically determine correlations between the bundler workload and its active power consumption.

Problem

• Measuring power consumption overhead of ERC-4337 bundlers
• Analyzing energy impact of Ethereum's additional middleware layer
• Quantifying bundler workload correlation with active power usage

Innovation

• Using SmartWatts to monitor power consumption
• Leveraging RAPL hardware interfaces for measurements
• Empirically correlating workload with power usage