Determination of the optimal period for computations control in complexes of automated control systems programs

The purpose of the study is to determine the optimal period for monitoring calculations in complex software complexes of automated control systems. To achieve this goal, it is necessary to solve such problems as the analysis of periodic control systems, which boils down to determining the performance costs of computing systems for control, as well as ensuring a minimum of these costs. Theoretical foundations and descriptions of the process of evaluating the effectiveness of the automated control systems functioning are given. A rationale for the method of determining the optimal period for monitoring calculations in software complexes of the automated control systems is provided in the paper. An analytical study of control systems is carried out. The difference between the considered problem setting and the existing ones lies in the fact that the accuracy of error detection by the periodic control system is taken into account, while it is taken into account that for real control systems the probability of error detection is quite high. Thus, the results of studying the operational periodic control systems have shown that the main parameters that affect the optimal period of control are the mean time between failures. The dependence of the optimal control period on the probability of recovery is shown for different values of the duration of recovery by a reliable method. As the probability decreases, the optimal control period also decreases, which is associated with the need to spend a large proportion of the time on restoration using a reliable method; the corresponding increase in average unit costs can be compensated by an increase in the frequency of control procedures, i. e. a decrease in the control period. The dependence of the minimum average unit cost of control and the optimal period of its implementation on the average time between the errors appearance is given. With constant durations of control and recovery procedures and constant error detection probability, the optimal control period decreases, and the minimum average unit cost increases somewhat with a decrease in the average time between failures. This can be explained as follows: the more often an error can occur, the more often you need to control in order to reduce the losses due to working with the error.

1. Ilchenko, Anna A., Denis A. Akmaykin, and Anastasia V. Gams. “Automated approach for solving the problem of determining the maritime autonomous surface ship operation area.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 14.4 (2022): 508–518. DOI: 10.21821/2309-5180-2022-14-4-508-518.

2. Fedorovskaya, Nadezhda K., and Konstantin Yu. Fedorovskiy. “Estimating the efficiency of ship power plants cooling systems taking into account the environmental factor.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 13.4 (2021): 559–568. DOI: 10.21821/2309-5180-2021-13-4-559-568.

3. Kuznetsov, A., A. Galin, S. Valkova, and A. Sampiev. “Technological transformation of universal berths into small container terminals.” Transport business of Russia 2 (2022): 243–249.

4. Tsarev, R. Yu., A. N. Pupkov, M. A. Ognerubova, M. V. Serzhantova, and N. A. Beschastnaya. “Model of analysis of distributed computing systems reliability.” The Siberian Aerospace Journal 1(47) (2013): 86–91.

5. Pavlovskaya, O.O. “Static methods of assessment of software.” Bulletin of the South Ural State University. Series, Computer technologies, automatic control, radio electronics 26(159) (2009): 35–37.

6. Grazhdantsev, E.V., M. A. Rusakov, O. I. Zavyalova, and R. Ju. Tsarev. “Practical realization of reliability analysis of software architecture.” The Siberian Aerospace Journal 1(18) (2008): 37–40.

7. Tsarev, R. Yu., E. N. Shtarik, and A. V. Shtarik. “Toward the problem of estimation of the complex software system reliability.” Journal of Siberian Federal University. Engineering & Technologies 8.1 (2015): 33–47.

8. Kuznetsov, Alexander Lvovich, Alexander Valentinovich Galin, Svetlana Sergeevna Valkova, and Adam Mihaylovich Sampiev. “Analysis of seaport bulk cargo warehouse capacity by using simulation modeling.” Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 3 (2022): 82–89. DOI: 10.24143/2073-1574-2022-3-82-89.

9. Galin, A., and A. Slican. “Development of LCL shipments in a situation of rising cost of container transportation.” Transport business of Russia 3 (2022): 117–119. DOI: 10.52375/20728689_2022_3_117.

10. Slican, A., A. Galin, and E. Vinogradova. “Features of determining the amount of loaded cargo on riversea vessels.” Transport business of Russia 4 (2022): 124–126. DOI: 10.52375/20728689_2022_4_124.

11. Goloskokov, K.P. “Prognozirovanie i otsenka tekhnicheskogo sostoyaniya slozhnykh system.” Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta 1(53) (2008): 164–168.

12. Brusakova, I.A., M. P. Vlasov, and K. P. Goloskokov. Informatsionnye tekhnologii v nauchnykh issledovaniyakh vysshei shkoly. SPb., 2012.

13. Goloskokov, K.P. “Avtomatizirovannaya sistema ispytanii v strukture sistemy upravleniya kachestvom.” Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Informatika. Telekommunikatsii. Upravlenie 6(69) (2008): 116–120.

14. Kudinov, Yu.I., A. Yu. Kelina, I. Yu. Kudinov, A. F. Pashchenko, and F. F. Pashchenko. Nechetkie modeli i sistemy upravleniya. M.: Lenand, 2017.

15. Nyrkov, A.P., A. A. Nyrkov, S. S. Sokolov, and A. A. Shnurenko. Obespechenie bezopasnosti ob”ektov informatizatsii transportnoi otrasli. Edited by A. P. Nyrkov. SPb.: Izd-vo Politekhn. un-ta, 2015.

16. Nyrkov, A.P., S. S. Sokolov, and A. V. Bashmakov. “Technique of designing safe information systems on transport.” Information Security Problems. Computer Systems 3 (2010): 58–61.

17. Lyulchenko, Andrei Nikolaevich, Anatoliy Pavlovich Nyrkov, and Viktor Grigorievich Shved. “Model of the system providing information security on transport.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 5(33) (2015): 184–193.