Adaptive Task Automata: A Framework for Verifying Adaptive Embedded Systems

  • Leo Hatvani
  • Paul Pettersson
  • Cristina Seceleanu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7212)

Abstract

We present a framework for modeling and analysis of adaptive embedded systems, based on the model of timed automata with tasks. The model is extended with primitives allowing modeling of adaptivity, by testing the potential schedulability of a given task, in the context of the set of currently enqueued tasks. This makes it possible to describe adaptive embedded systems, in which decisions to admit further tasks or take other measures of adaptivity is based on available CPU resources, external, or internal events. We show that this model can be encoded in the framework of timed automata, and hence that the problem is decidable. We also validate the framework, by using the Uppaal tool.

Keywords

Schedule Policy Task Type Schedulability Analysis Schedulability Test High Priority Task 
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-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Leo Hatvani
    • 1
  • Paul Pettersson
    • 1
  • Cristina Seceleanu
    • 1
  1. 1.Mälardalen UniversityVästeråsSweden

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