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        <identifier>oai:drops-oai.dagstuhl.de:20309</identifier>
        <datestamp>2024-07-04T05:10:01Z</datestamp>
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          <dc:title>Optimizing Per-Core Priorities to Minimize End-To-End Latencies</dc:title>
          <dc:creator>Paladino, Francesco</dc:creator>
          <dc:creator>Biondi, Alessandro</dc:creator>
          <dc:creator>Bini, Enrico</dc:creator>
          <dc:creator>Pazzaglia, Paolo</dc:creator>
          <dc:subject>Cause-Effect Chains</dc:subject>
          <dc:subject>Logical Execution Time</dc:subject>
          <dc:subject>End-to-End Latency</dc:subject>
          <dc:subject>Design Optimization</dc:subject>
          <dc:subject>Task Priorities</dc:subject>
          <dc:subject>Data Age</dc:subject>
          <dc:subject>Reaction Time</dc:subject>
          <dc:description>Logical Execution Time (LET) allows decoupling the schedule of real-time periodic tasks from their communication, with the advantage of isolating the communication pattern from the variability of the schedule. However, when such tasks are organized in chains, the usage of LET at the task level does not necessarily transfer the same LET properties to the chain level.&#13;
In this paper, we extend a LET-like model from tasks to chains spanning over multiple cores. We leverage the designed constant latency chains to optimize per-core priority assignment. Finally, we also provide a set of heuristic algorithms, that are compared in a large-scale experimental evaluation.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Francesco Paladino and Alessandro Biondi and Enrico Bini and Paolo Pazzaglia</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 298, 36th Euromicro Conference on Real-Time Systems (ECRTS 2024)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2024.6</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-203094</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2024.6</dc:identifier>
          <dc:language>eng</dc:language>
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