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Detail publikace
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
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/" }