Synthesis of Self-Adaptable Software for Multicore Embedded Systems

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@InProceedings{Deniziak:2020:DDECS,

• author = "Stanislaw Deniziak and Leszek Ciopinski",
• booktitle = "2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits Systems (DDECS)",
• title = "Synthesis of Self-Adaptable Software for Multicore Embedded Systems",
• year = "2020",
• month = apr,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/DDECS50862.2020.9095745",
• ISSN = "2473-2117",
• abstract = "This paper presents a method of synthesis of real-time software for self-adaptive multicore systems. The method assumes that the system specification is given as a task graph. Then, tasks are scheduled on multicore architecture consisting of low-power and high-performance cores. We apply the developmental genetic programming to generate the self-adaptive scheduler and the initial schedule. The initial schedule is optimized taking into consideration the power consumption, the real-time constraints as well as the self-adaptivity. The scheduler modifies the schedule, during the system execution, whenever execution time of the recently finished task occurred other than assumed during initial scheduling. We propose two models of self-adaptivity: self-optimization of power consumption and self-adaptivity of real-time scheduling. We present some experimental results for standard benchmarks, showing the advantages of our method in comparison with the worst case design used in existing approaches.",
• notes = "Also known as \cite{9095745}",

}

Genetic Programming entries for Stanislaw Deniziak Leszek Ciopinski

Citations