Přístupnostní navigace
E-application
Search Search Close
Publication result detail
STRNADEL, J.
Original Title
Predictability Analysis of Interruptible Systems by Statistical Model Checking
English Title
Type
WoS Article
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.
English abstract
Keywords
Processors, Real-time systems, Interrupts, Predictability, Analytical models, Predictive models, Stacking, Statistical model checking, Stochastic processes, Timed automata, Priced automata, Computational modeling
Key words in English
Authors
RIV year
2019
Released
23.03.2018
ISBN
2168-2356
Periodical
IEEE Design & Test
Volume
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 & 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_model2share08082475