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        <identifier>oai:drops-oai.dagstuhl.de:19212</identifier>
        <datestamp>2024-03-06T11:03:41Z</datestamp>
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          <dc:title>Buying Time: Latency Racing vs. Bidding for Transaction Ordering</dc:title>
          <dc:creator>Mamageishvili, Akaki</dc:creator>
          <dc:creator>Kelkar, Mahimna</dc:creator>
          <dc:creator>Schlegel, Jan Christoph</dc:creator>
          <dc:creator>Felten, Edward W.</dc:creator>
          <dc:subject>Transaction ordering</dc:subject>
          <dc:subject>First-come-first-serve</dc:subject>
          <dc:subject>First-price auctions</dc:subject>
          <dc:description>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. &#13;
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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Akaki Mamageishvili and Mahimna Kelkar and Jan Christoph Schlegel and Edward W. Felten</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 282, 5th Conference on Advances in Financial Technologies (AFT 2023)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.AFT.2023.23</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-192120</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AFT.2023.23</dc:identifier>
          <dc:language>eng</dc:language>
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