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        <identifier>oai:drops-oai.dagstuhl.de:11781</identifier>
        <datestamp>2024-03-06T10:30:51Z</datestamp>
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          <dc:title>Real-Time Task Migration for Dynamic Resource Management in Many-Core Systems</dc:title>
          <dc:creator>Pourmohseni, Behnaz</dc:creator>
          <dc:creator>Smirnov, Fedor</dc:creator>
          <dc:creator>Wildermann, Stefan</dc:creator>
          <dc:creator>Teich, Jürgen</dc:creator>
          <dc:subject>Hard real-time</dc:subject>
          <dc:subject>task migration</dc:subject>
          <dc:subject>timing analysis</dc:subject>
          <dc:subject>dynamic resource management</dc:subject>
          <dc:subject>multi-core</dc:subject>
          <dc:subject>many-core</dc:subject>
          <dc:description>Dynamic resource management strategies in embedded many-core systems rely on task migration to adapt the deployment (mapping) of applications dynamically, e.g., for thermal/power management or load balancing. In case of hard real-time applications, however, the current practice of on-line application adaptation is limited to reconfiguring the whole application between a set of statically computed mappings with statically verified timing guarantees. This heavily restricts the application’s adaptability. To enable hard real-time task migrations in many-core systems without relying on a static analysis, this paper presents (i) a predictable task migration mechanism supported with (ii) a lightweight migration timing analysis and (iii) a lightweight migration timing feasibility check which can be applied on-line to bound on the worst-case temporal overhead of a migration and examine the admissibility of this overhead w.r.t. the hard real-time requirements of the application. For a variety of applications and many-core platforms, we experimentally demonstrate the feasibility of hard real-time task migrations, the lightness of the proposed timing analysis and feasibility check for on-line use, and the advantage of the proposed task migration approach over mapping reconfiguration as the state-of-the-art real-time adaptation approach for many-core systems.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Behnaz Pourmohseni and Fedor Smirnov and Stefan Wildermann and Jürgen Teich</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 77, Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.NG-RES.2020.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-117816</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2020.5</dc:identifier>
          <dc:language>eng</dc:language>
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