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        <identifier>oai:drops-oai.dagstuhl.de:26586</identifier>
        <datestamp>2026-09-29T14:35:27Z</datestamp>
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          <dc:title>Preempt Less, Schedule Better: Revisiting PCG for Real-Time Uniform Processors</dc:title>
          <dc:creator>Hamdani, Yahya</dc:creator>
          <dc:creator>Richard, Pascal</dc:creator>
          <dc:creator>Bertout, Antoine</dc:creator>
          <dc:creator>Goossens, Joël</dc:creator>
          <dc:creator>Grolleau, Emmanuel</dc:creator>
          <dc:subject>Real-Time Scheduling</dc:subject>
          <dc:subject>Uniform Multiprocessor Platforms</dc:subject>
          <dc:description>We address the problem of scheduling periodic implicit-deadline real-time tasks on m uniform processors. We introduce PCG^*, an optimal TL-plane algorithm based on PCG [Chen and Hsueh, 2008], which guarantees at most 2(m - 1) preemptions per TL-plane, matching the best-known theoretical bound for uniform platforms. The proposed algorithm advances the state of the art by offering an optimal real-time scheduling solution with a tight preemption bound within TL-planes. The numerical experiments presented in this work provide strong evidence that PCG^* yields a substantial reduction in the number of preemptions relative to PCG. When applied to identical processor platforms, PCG^* is also a best-possible polynomial time algorithm in terms of preemptions in a TL-plane, matching the (m-1) preemption bound achieved by LRE-TL [Funk, 2010].</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yahya Hamdani and Pascal Richard and Antoine Bertout and Joël Goossens and Emmanuel Grolleau</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 375, 38th European Conference on Real-Time Systems (ECRTS 2026)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2026.2</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-265863</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2026.2</dc:identifier>
          <dc:language>eng</dc:language>
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