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        <datestamp>2024-03-06T10:52:18Z</datestamp>
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          <dc:title>The Variable-Processor Cup Game</dc:title>
          <dc:creator>Kuszmaul, William</dc:creator>
          <dc:creator>Westover, Alek</dc:creator>
          <dc:subject>scheduling</dc:subject>
          <dc:subject>cup games</dc:subject>
          <dc:subject>online algorithms</dc:subject>
          <dc:subject>lower bounds</dc:subject>
          <dc:description>The problem of scheduling tasks on p processors so that no task ever gets too far behind is often described as a game with cups and water. In the p-processor cup game on n cups, there are two players, a filler and an emptier, that take turns adding and removing water from a set of n cups. In each turn, the filler adds p units of water to the cups, placing at most 1 unit of water in each cup, and then the emptier selects p cups to remove up to 1 unit of water from. The emptier’s goal is to minimize the backlog, which is the height of the fullest cup.&#13;
The p-processor cup game has been studied in many different settings, dating back to the late 1960’s. All of the past work shares one common assumption: that p is fixed. This paper initiates the study of what happens when the number of available processors p varies over time, resulting in what we call the variable-processor cup game.&#13;
Remarkably, the optimal bounds for the variable-processor cup game differ dramatically from its classical counterpart. Whereas the p-processor cup has optimal backlog Θ(log n), the variable-processor game has optimal backlog Θ(n). Moreover, there is an efficient filling strategy that yields backlog Ω(n^{1 - ε}) in quasi-polynomial time against any deterministic emptying strategy.&#13;
We additionally show that straightforward uses of randomization cannot be used to help the emptier. In particular, for any positive constant Δ, and any Δ-greedy-like randomized emptying algorithm 𝒜, there is a filling strategy that achieves backlog Ω(n^{1 - ε}) against 𝒜 in quasi-polynomial time.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>William Kuszmaul and Alek Westover</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2021.16</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-135559</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.16</dc:identifier>
          <dc:language>eng</dc:language>
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