Fadlelseed, S.; Kirner, R.; Menon, C. ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic. Electronics2021, 10, 1352.
Fadlelseed, S.; Kirner, R.; Menon, C. ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic. Electronics 2021, 10, 1352.
Fadlelseed, S.; Kirner, R.; Menon, C. ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic. Electronics2021, 10, 1352.
Fadlelseed, S.; Kirner, R.; Menon, C. ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic. Electronics 2021, 10, 1352.
Abstract
In a safety-critical system typically not all provided services have the same criticality, which we call mixed-criticality systems. Criticality arithmetic, also called SIL arithmetic, is an approach to lower the development effort of a service by providing redundancy with tasks that are developed for a lower criticality level.
In this paper we present ATMP-CA, which is a derivation of the multi-core scheduler ATMP. ATMP-CA is able to take into account the knowledge about the use of criticality arithmetic. ATMP-CA has a modified core allocation and procedure for utility optimisation, considering the context of the replicated tasks. We conducted experiments that show that ATMP-CA is able to provide the services using criticality arithmetic, while the reference schedulers were not.
Computer Science and Mathematics, Computer Science
Copyright:
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