Abstract
In this paper, the method of dispatching and optimal distribution of resources of various types in parallel computing systems is considered, based on preliminary processing of the individual problems parameters, construction of fuzzy evaluation systems and hybrid neural-fuzzy production systems. The application of this method provides advantages in conditions of inaccurate, incomplete and difficult to formalize information about the characteristics of performed tasks, taking into account initially established preferences and achieving the desired performance indicators for the tasks and selected planning strategy.
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Voitsitskaya, A., Fedulov, A., Fedulov, Y. (2019). Resource Managing Method for Parallel Computing Systems Using Fuzzy Data Preprocessing for Input Tasks Parameters. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_41
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DOI: https://doi.org/10.1007/978-3-030-01818-4_41
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