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Buying Time: Latency Racing vs. Bidding in Transaction Ordering

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Listed:
  • Akaki Mamageishvili
  • Mahimna Kelkar
  • Jan Christoph Schlegel
  • Edward W. Felten

Abstract

We design TimeBoost: a practical transaction ordering policy for rollup sequencers that takes into account both transaction timestamps and bids; it works by creating a score from timestamps and bids, and orders transactions based on this score. TimeBoost is transaction-data-independent (i.e., can work with encrypted transactions) and supports low transaction finalization times similar to a first-come first-serve (FCFS or pure-latency) ordering policy. At the same time, it avoids the inefficient latency competition created by an FCFS policy. It further satisfies useful economic properties of first-price auctions that come with a pure-bidding policy. We show through rigorous economic analyses how TimeBoost allows players to compete on arbitrage opportunities in a way that results in better guarantees compared to both pure-latency and pure-bidding approaches.

Suggested Citation

  • Akaki Mamageishvili & Mahimna Kelkar & Jan Christoph Schlegel & Edward W. Felten, 2023. "Buying Time: Latency Racing vs. Bidding in Transaction Ordering," Papers 2306.02179, arXiv.org, revised Aug 2023.
  • Handle: RePEc:arx:papers:2306.02179
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    References listed on IDEAS

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    1. Matheus V. X. Ferreira & David C. Parkes, 2022. "Credible Decentralized Exchange Design via Verifiable Sequencing Rules," Papers 2209.15569, arXiv.org, revised Apr 2023.
    2. Chambers,Christopher P. & Echenique,Federico, 2016. "Revealed Preference Theory," Cambridge Books, Cambridge University Press, number 9781107087804, June.
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