Result Details
Predictability Analysis of Interruptible Systems by Statistical Model Checking
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.
Processors, Real-time systems, Interrupts, Predictability, Analytical models, Predictive models, Stacking, Statistical model checking, Stochastic processes, Timed automata, Priced automata, Computational modeling
@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/"
}Pokročilé paralelní a vestavěné počítačové systémy, BUT, Vnitřní projekty VUT, FIT-S-17-3994, start: 2017-03-01, end: 2020-02-29, completed