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Real-Time Task Migration for Dynamic Resource Management in Many-Core Systems

Authors Behnaz Pourmohseni , Fedor Smirnov, Stefan Wildermann, Jürgen Teich

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ACM Subject Classification
  • Computer systems organization → Real-time systems
  • Computer systems organization → Embedded and cyber-physical systems
  • Computer systems organization → Multicore architectures
Keywords
  • Hard real-time
  • task migration
  • timing analysis
  • dynamic resource management
  • multi-core
  • many-core

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Abstract

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.

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Behnaz Pourmohseni, Fedor Smirnov, Stefan Wildermann, and Jürgen Teich. Real-Time Task Migration for Dynamic Resource Management in Many-Core Systems. In Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020). Open Access Series in Informatics (OASIcs), Volume 77, pp. 5:1-5:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/OASIcs.NG-RES.2020.5

Author Details

Behnaz Pourmohseni
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
Fedor Smirnov
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
Stefan Wildermann
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
Jürgen Teich
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany

Funding

This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project Number 146371743 - TRR 89 Invasive Computing.

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