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Real-Time Multiprocessor Scheduling Simulation.pdf

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🔗 Source: hal.science
📊 Size: 387 KB
👤 Author: Maxime Chéramy, Anne-Marie Déplanche, Pierre-Emmanuel Hladik
⬇️ Downloads: 38

Summary

Key points include:

- Motivation: Most multiprocessor real-time scheduling strategies overlook cache effects and scheduling overheads, which can significantly impact system behavior.
- Contribution: SimSo, an open-source, flexible simulator that extends the Liu and Layland model to characterize task memory access, enabling statistical models for cache miss rates and job execution times. It also accounts for context switch and scheduling overheads.
- Design:
- Explains real-time scheduling principles (Section 3).
- Describes the simulator's implementation (Section 4).
- Details the scheduler component (Section 5) and hardware model integration (Section 6).
- Presents the simulation software (Section 7).
- Compares SimSo with existing similar tools (Section 8).
- Future Work: The paper concludes by summarizing the contribution and outlining future work.

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HAL is a multi-disciplinary open access archive for scientific research documents, published or not. It accepts documents from French and foreign institutions, as well as public and private research centers.

Technical Information

  • File Format: PDF
  • File Size: 387 KB
  • Pages: 11
  • Language: EN
  • Author: Maxime Chéramy, Anne-Marie Déplanche, Pierre-Emmanuel Hladik
  • Total Downloads: 38
  • Last Updated: 7 hours ago

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This PDF document about Real-Time Multiprocessor Scheduling Simulation provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Real-Time Multiprocessor Scheduling Simulation.

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Real-Time guideReal-Time tutorialMultiprocessor guideMultiprocessor tutorialScheduling guideScheduling tutorialSimulation guideSimulation tutorial

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