City Research Online

Abstract

Layer-2 protocols such as rollups can help address Ethereum’s throughput limits. An efficient data availability layer is key for layer-2 support in Ethereum, but broadcast methods do not scale. A promising approach is the selective distribution of layer-2 data and its verification by data availability sampling (DAS). Integrating DAS with Ethereum consensus is, however, a challenge, as data must be shared and sampled within 4 seconds of each consensus slot. We propose PANDAS, a practical approach to integrating DAS with Ethereum without modifying Ethereum’s core protocols. PANDAS disseminates layer-2 data and samples its availability using lightweight, direct exchanges. Its design accounts for message loss, node failures, and unresponsive participants. Our evaluation in a 1,000-node cluster and simulations for up to 20,000 peers show that PANDAS allows layer-2 data dissemination and sampling under planetary-scale latencies within the 4-second deadline.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© Authors | ACM 2025. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record is to be published in Proceedings of the International Middleware Conference
Publisher Keywords:	Ethereum, Data Availability Sampling, Peer-to-peer, Performance
Subjects:	H Social Sciences > HG Finance H Social Sciences > HN Social history and conditions. Social problems. Social reform Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology School of Science & Technology > Department of Computer Science School of Science & Technology > Department of Computer Science > Software Reliability
SWORD Depositor:	Symplectic Administrator

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