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        <identifier>oai:drops-oai.dagstuhl.de:8994</identifier>
        <datestamp>2024-03-06T10:43:04Z</datestamp>
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          <dc:title>A Response-Time Analysis for Non-Preemptive Job Sets under Global Scheduling</dc:title>
          <dc:creator>Nasri, Mitra</dc:creator>
          <dc:creator>Nelissen, Geoffrey</dc:creator>
          <dc:creator>Brandenburg, Björn B.</dc:creator>
          <dc:subject>global multiprocessor scheduling</dc:subject>
          <dc:subject>schedulability analysis</dc:subject>
          <dc:subject>non-preemptive tasks</dc:subject>
          <dc:subject>worst-case response time</dc:subject>
          <dc:subject>best-case response time</dc:subject>
          <dc:description>An effective way to increase the timing predictability of multicore platforms is to use non-preemptive scheduling. It reduces preemption and job migration overheads, avoids intra-core cache interference, and improves the accuracy of worst-case execution time (WCET) estimates. However, existing schedulability tests for global non-preemptive multiprocessor scheduling are pessimistic, especially when applied to periodic workloads. This paper reduces this pessimism by introducing a new type of sufficient schedulability analysis that is based on an exploration of the space of possible schedules using concise abstractions and state-pruning techniques. Specifically, we analyze the schedulability of non-preemptive job sets (with bounded release jitter and execution time variation) scheduled by a global job-level fixed-priority (JLFP) scheduling algorithm upon an identical multicore platform. The analysis yields a lower bound on the best-case response-time (BCRT) and an upper bound on the worst-case response time (WCRT) of the jobs. In an empirical evaluation with randomly generated workloads, we show that the method scales to 30 tasks, a hundred thousand jobs (per hyperperiod), and up to 9 cores.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Mitra Nasri 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>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2018.9</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-89941</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.9</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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