Detail publikace

Predictability Analysis of Interruptible Systems by Statistical Model Checking

STRNADEL, J.

Originální název

Predictability Analysis of Interruptible Systems by Statistical Model Checking

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Many systems must be predictable under various sources of unpredictability. To meet this, a system must be modeled and analyzed precisely under various scenarios, which is a problem that grows with the dynamics of the system. To cope with it, we propose a simulation model that relies on a network of stochastic timed automata. Its novelty lies in combining models of the interrupt subsystem, interrupt sources and their interrupt service routines with features such as priorities, masking of interrupt requests and nesting of interrupt service routines at run-time. The analysis of such a model benefits from the statistical model checking.

Klíčová slova

Processors, Real-time systems, Interrupts, Predictability, Analytical models,  Predictive models,  Stacking,  Statistical model checking,  Stochastic processes,  Timed automata, Priced automata, Computational modeling

Autoři

STRNADEL, J.

Vydáno

23. 3. 2018

ISSN

2168-2356

Periodikum

IEEE Design and Test

Ročník

35

Číslo

2

Stát

Spojené státy americké

Strany od

57

Strany do

63

Strany počet

7

URL

http://ieeexplore.ieee.org/document/8082475/

BibTex

@article{BUT146730,
  author="Josef {Strnadel}",
  title="Predictability Analysis of Interruptible Systems by Statistical Model Checking",
  journal="IEEE Design and Test",
  year="2018",
  volume="35",
  number="2",
  pages="57--63",
  doi="10.1109/MDAT.2017.2766568",
  issn="2168-2356",
  url="http://ieeexplore.ieee.org/document/8082475/"
}

Dokumenty

cpu_model2share.xml
08082475.pdf