Paper 2024/1021

ammBoost: State Growth Control for AMMs

Nicolas Michel, University of Connecticut
Mohamed E. Najd, University of Connecticut
Ghada Almashaqbeh, University of Connecticut
Abstract

Automated market makers (AMMs) are a prime example of Web 3.0 applications. Their popularity and high trading activity led to serious scalability issues in terms of throughput and state size. In this paper, we address these challenges by utilizing a new sidechain architecture, building a system called ammBoost. ammBoost reduces the amount of on-chain transactions, boosts throughput, and supports blockchain pruning. We devise several techniques to enable layer 2 processing for AMMs, including a functionality-split and layer 2 traffic summarization paradigm, an epoch-based deposit mechanism, and pool snapshot-based and delayed token-payout trading. We also build a proof-of-concept for a Uniswap-inspired use case to empirically evaluate performance. Our experiments show that ammBoost decreases the gas cost by 96.05% and the chain growth by at least 93.42%, and that it can support up to 500x of the daily traffic volume of Uniswap. We also compare ammBoost to an Optimism-inspired solution showing a 99.94% reduction in transaction finality.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Keywords
AMMssidechainsscalabilitylayer-2 solution
Contact author(s)
nicolas michel @ uconn edu
menajd @ uconn edu
ghada @ uconn edu
History
2025-03-20: last of 4 revisions
2024-06-24: received
See all versions
Short URL
https://ia.cr/2024/1021
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2024/1021,
      author = {Nicolas Michel and Mohamed E. Najd and Ghada Almashaqbeh},
      title = {{ammBoost}: State Growth Control for {AMMs}},
      howpublished = {Cryptology {ePrint} Archive, Paper 2024/1021},
      year = {2024},
      url = {https://eprint.iacr.org/2024/1021}
}
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