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Optimal synchronization selection algorithm processes in a distributed simulation system

Pantyukhov Dmitry   (Academy of the Federal Security Service of the Russian Federation, Oryol)

Due to the intensive development of computer technology, modeling acquires a general scientific character and is used in studies of objects and processes occurring in nature, in the sciences of man and society. At the same time, forecasting the behavior of simulated objects, in modern conditions, is one of the most promising areas in the theory and practice of modeling. In particular, forecasting makes it possible to conduct controlled experiments for those situations where the implementation of experiments on real objects is fraught with practical and economic difficulties, and as a result to make a correct and objective decision about the viability of the model and the possibility of its practical application, depending on the purposes of using the model. The above approach has been confirmed by many years of research in the field of theoretical modeling problems. In the article, the author practically proves that when constructing the simulation process of the functioning of the model, it is possible to choose the most effective synchronization algorithm of the model by adjusting (distribution of local clock increments), depending on the type of process involved in modeling. In addition, within the framework of the conducted research, an optimal algorithm for modeling the time advance of the simulation model has been developed and mathematically described, the effectiveness of which increases with an increase in the number of processes in the simulated system.

Keywords:modeling, simulation models, conservative algorithm, optimistic algorithm, synchronization algorithm, distribution system.
 

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Citation link:
Pantyukhov D. Optimal synchronization selection algorithm processes in a distributed simulation system // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2021. -№12. -С. 105-110 DOI 10.37882/2223-2966.2021.12.24
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