A Model-Based Framework for the Specification and Analysis of Hierarchical Scheduling Systems

  • Mounir Chadli
  • Jin Hyun Kim
  • Axel Legay
  • Louis-Marie TraonouezEmail author
  • Stefan Naujokat
  • Bernhard Steffen
  • Kim Guldstrand Larsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9933)


Over the years, schedulability of Cyber-Physical Systems (CPS) has mainly been performed by analytical methods. Those techniques are known to be effective but limited to a few classes of scheduling policies. In a series of recent work, we have shown that schedulability analysis of CPS could be performed with a model-based approach and extensions of verification tools such as UPPAAL. One of our main contribution has been to show that such models are flexible enough to embed various types of scheduling policies that go beyond those in the scope of analytical tools. In this paper, we go one step further and show how our formalism can be extended to account for stochastic information, such as sporadic tasks whose attributes depend on the hardware domain.


Schedule Policy Resource Supplier Early Deadline First Sporadic Task Schedulability Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Mounir Chadli
    • 1
  • Jin Hyun Kim
    • 1
  • Axel Legay
    • 1
  • Louis-Marie Traonouez
    • 1
    Email author
  • Stefan Naujokat
    • 2
  • Bernhard Steffen
    • 2
  • Kim Guldstrand Larsen
    • 3
  1. 1.Inria RennesRennesFrance
  2. 2.Technische Universität DortmundDortmundGermany
  3. 3.Aalborg UniversityAalborgDenmark

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