Publication detail

Predictability Analysis of Interruptible Systems by Statistical Model Checking

STRNADEL, J.

Original Title

Predictability Analysis of Interruptible Systems by Statistical Model Checking

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

STRNADEL, J.

Released

23. 3. 2018

ISBN

2168-2356

Periodical

IEEE Design and Test

Year of study

35

Number

2

State

United States of America

Pages from

57

Pages to

63

Pages count

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/"
}

Documents

cpu_model2share.xml
08082475.pdf