How realistic is the mixed-criticality real-time system model?
Author(s) -
Alexandre Esper,
Geoffrey Nelissen,
Vincent Nélis,
Eduardo Tovar
Publication year - 2015
Publication title -
portuguese national funding agency for science, research and technology (rcaap project by fct)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2834848.2834869
Subject(s) - mixed criticality , criticality , computer science , automotive industry , domain (mathematical analysis) , scheduling (production processes) , state space , perspective (graphical) , state (computer science) , systems engineering , distributed computing , software engineering , engineering , artificial intelligence , algorithm , mathematical analysis , operations management , physics , statistics , mathematics , nuclear physics , aerospace engineering
With the rapid evolution of commercial hardware platforms, in most application domains, the industry has shown a growing interest in integrating and running independently-developed applications of different \"criticalities\" in the same multi-core platform. Such integrated systems are commonly referred to as mixed-criticality systems (MCS). Most of the MCS-related research published in the state-of-the-art cite the safety-related standards associated to each application domain (e.g. aeronautics, space, railway, automotive) to justify their methods and results. However, those standards are not, in most cases, freely available, and do not always clearly and explicitly specify the requirements for mixed-criticality systems. This paper addresses the important challenge of unveiling the relevant information available in some of the safety-related standards, such that the mixed-criticality concept is understood from an industrialist's perspective. Moreover, the paper evaluates the state-of-the-art mixed-criticality real-time scheduling models and algorithms against the safety-related standards and clarifies some misconceptions that are commonly encountered.
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