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        <identifier>oai:drops-oai.dagstuhl.de:24934</identifier>
        <datestamp>2025-11-27T06:51:44Z</datestamp>
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          <dc:title>A Tight Lower Bound for Online Service with Deadlines and Lazy Server</dc:title>
          <dc:creator>Disser, Yann</dc:creator>
          <dc:creator>Thelen, Linda</dc:creator>
          <dc:subject>online algorithms</dc:subject>
          <dc:subject>competitive analysis</dc:subject>
          <dc:subject>lower bound</dc:subject>
          <dc:subject>delay</dc:subject>
          <dc:subject>deadlines</dc:subject>
          <dc:description>We study the online service with deadlines (or delays) problem, in which a server must serve requests for points in a metric space while balancing travel distance and promptness of service. While the problem has been extensively studied (STOC 2017), (FOCS 2019), (FOCS 2023), the main open question whether a constant competitive ratio can be achieved remains wide open. We prove a logarithmic lower bound for a natural class of algorithms already on uniform line metrics. Our lower bound applies to, and is tight for, the best known algorithms for general metrics and uniform line metrics.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yann Disser and Linda Thelen</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 359, 36th International Symposium on Algorithms and Computation (ISAAC 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2025.26</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-249347</dc:identifier>
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          <dc:language>eng</dc:language>
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