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Software complex for realization of mathematical models, methods and algorithms of estimation of time of execution of complex problems in multiprocessor computer systems

Computer Science & Engineering

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 08.11.2018 - 13:10
Abstract

To solve the problem of forecasting, a complete software package was developed based on mathematical models, methods and algorithms of direct stochastic modeling and multilevel stochastic modeling, which are used to estimate the execution time of complex software systems in multiprocessor computer systems.

Keywords
parallel computing systemscomplex of interconnected worksdirect stochastic modelingMarkov processfunction of distribution of random variable.
References

[1]  W.W. Chu, K.K. Leung, “Module replication and assignment for real-time distributed                                processing system”. // "Proc IEEE". 1987. 75. N5. pp. 547-562.

[2]  A.S. Khritankov, “Mathematical model of performance characteristics of distributed computing systems”. Computer science, management, economics. WORKS OF MIPT. - 2010. - Volume 2, No. 1 (5), p. 110-115.

[3]   A.N. Ivutin ., E.V. Larkin, “Prediction of the execution time of the algorithm”. Magazine. News of TSU. Technical science. Issue number 3/2013 C 301-315.

[4]   P.L. Bocharov, V.V. Ignatushchenko,  “Mathematical models and methods for evaluating the effectiveness of parallel computing systems on complexes of interrelated works” // Tez. report international conf, “High-Performance Computing Systems in Management and Scientific Research,” Alma-Ata, 1991, p. 6.

[5]   Y.S. Klushin, “ Improving the accuracy of estimating the execution time of folding software systems in multiprocessor computer systems for belt stochastic modeling”. Bulletin of NU "Lviv Polytechnic" №881. Computer systems and networks. - Lviv: NU “LP”, 2017.

[6]   Y.V. Preidunov,  “Development of mathematical models and methods for predicting the implementation of complex software systems on parallel computing systems”. Cand. course work. M .: Inst. Of Problems of Management RAS, 1992.

[7]   Y.S Klushin,  “Reducing the number of states of the Markov process when executing complex software systems on parallel computers”. Scientific Bulletin of Chernivtsi University. Computer systems and components. 2016. T. 7. Vol. 2, pp. 53-62.

Full text

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Secretary CSE
researcher, secretary

Dear Authors,

 

Your paper has been accepted!

 

We are glad to inform you that your conference paper has been accepted to participate in the 8th International Joint Youth Science Forum «Litteris et Artibus» & 13th International Conference «Young Scientists Towards the Challenges of Modern Technology», particularly in "Computer Science & Engineering" conference (November 22-24, 2018, Lviv, Ukraine)! Your paper will be published in digital proceedings with ISSN and DOI on the website https://openreviewhub.org/lea-2018.

 

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Wed, 11/14/2018 - 18:32