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        <datestamp>2024-03-06T10:43:07Z</datestamp>
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          <dc:title>On Strong and Weak Sustainability, with an Application to Self-Suspending Real-Time Tasks</dc:title>
          <dc:creator>Cerqueira, Felipe</dc:creator>
          <dc:creator>Nelissen, Geoffrey</dc:creator>
          <dc:creator>Brandenburg, Björn B.</dc:creator>
          <dc:subject>real-time scheduling</dc:subject>
          <dc:subject>sustainability</dc:subject>
          <dc:subject>self-suspending tasks</dc:subject>
          <dc:subject>machine-checked proofs</dc:subject>
          <dc:description>Motivated by an apparent contradiction regarding whether certain scheduling policies are sustainable, we revisit the topic of sustainability in real-time scheduling and argue that the existing definitions of sustainability should be further clarified and generalized. After proposing a formal, generic sustainability theory, we relax the existing notion of (strongly) sustainable scheduling policy to provide a new classification called weak sustainability. Proving weak sustainability properties allows reducing the number of variables that must be considered in the search of a worst-case schedule, and hence enables more efficient schedulability analyses and testing regimes even for policies that are not (strongly) sustainable. As a proof of concept, and to better understand a model for which many mistakes were found in the literature, we study weak sustainability in the context of dynamic self-suspending tasks, where we formalize a generic suspension model using the Coq proof assistant and provide a machine-checked proof that any JLFP scheduling policy is weakly sustainable with respect to job costs and variable suspension times.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Felipe Cerqueira and Geoffrey Nelissen and Björn B. Brandenburg</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 106, 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2018.26</dc:identifier>
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          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.26</dc:identifier>
          <dc:language>eng</dc:language>
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