Imitating modelling of data processing in information system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2014.23153

Keywords:

imitating modeling, queue, inquiry processing, queuing system, empirical function

Abstract

The information system with using distributed databases, where inquiry processing is performed in the order of the queue at each workstation is described. It is found that predictive methods are focused on the narrow use and not suitable for widespread use in information systems.

The operation logic of the imitating model in terms of events, related to issuing commands from the main system to the control object is described. The steps to ensure that the data on the duration of executing the commands, received from control objects, turned into the probability density of random variables are defined. The relative frequency of events in the system is determined. Using predictive methods and knowledge about previous states of information system, progressive function, which can provide information about its future states with a certain probability, is formed.

As well as all other imitating models with discrete events, this model describes the situation with the queue, in which data flows arrive from control objects before constructing the information system model.

The considered system consists of one queue and N workstations (N control objects in information system). The queue is set by sequence of processing control objects in the initial priorities, calculated based on the workstation parameters.

Empirical and theoretical functions of the system states are created. During the imitation, it was found that the average deviation of the theoretical distribution from empirical does not exceed 10% that indicates the feasibility of using the exponential function as predictive for the given system with the queue. Time of staying of the simulated system in the steady state is estimated and is equal to 2.7 seconds. It is concluded that this time is enough to predict the next state of information system that will allow timely and uniform load distribution among the workstations.

Author Biography

Михайло Сергійович Сафонов, The Odessa national polytechnical university Shevchenka 1, Odessa, Ukraine, 65044

Aspirant

Department of natural-scientific preparation

References

  1. Муха, В. С. Обчислювальні методи та комп’ютерна алгебра: навч.-метод. посібник [Текст] : 2-е изд., Испр. і доп. / В. С. Муха. – К.: БДУІР, 2010. –4 с.
  2. Chaudhuri, S. International factor mobility, informal interest rate and capital market imperfection: a general equilibrium analysis [Text] / S. Chaudhuri, M. R. Gupta. – University Library of Munich. – Munich: MPRA Paper, 2011. – P. 55–60.
  3. Englert, P. A. Model-based Imitation Learning by Probabilistic Trajectory Matching. [Text] : proc. of the inter. conf. / P. A. Englert, J. P. Paraschos, M. P. Deisenroth / Robotics and Automation. – Tohocu, Japan, 2013. – P. 173–180.
  4. Белкин, В. А. Pазвитие теории циклических колебаний процента [Текст] / В. А. Белкин, С. А. Полуяхтов // Научный вестник Уральской академии государственной службы: политология, социология, экономика, право. – 2011. – Вып. 4 (17). – С. 87–94.
  5. Levchenko, N. G. Imitating model of the information management system in a maritime branch enterprise. [Text] / N. G. Levchenko // Asia-Pacific Journal of Marine Science & Education. – 2011. – Vol. 1, № 1. – P. 107–112.
  6. Tambovcevs, A. Using Gis for Freight Supply Chain Modelling [Текст] : сб. докл. 2 межд. науч.-прак. конф. / A. Tambovcevs, Y. Merkuryev // Имитационное и комплексное моделирование морской техники и морских транспортных систем. – ОАО «Центр технологии судостроения и судоремонта», 2013. – С. 23–31.
  7. Бабкин, Е. А. О формах представления имитационных событийных моделей дискретных систем [Текст] : сб. докл. 6 все-
  8. рос. науч.-прак. конф. / Е. А. Бабкин, В. В. Разиньков // Имитационное моделирование. Теория и практика. – Казань:
  9. ФЭН. – 2013. – Т. 1. – С. 109–113.
  10. Якимов, И. М. Применение системы имитационного моделирования GPSS World с расширенным редактором для обучения в ВУЗе [Текст] : сб. докл. 6 всерос. науч.-прак. конф. / И. М. Якимов, Ю. Г. Старцева // Имитационное моделирование. Теория и практика. – Казань: ФЭН. – 2013. – Т. 1. – С. 367–371.
  11. Власов, С. А. Имитационные исследования с использованием GPSS WORLD - новые возможности [Текст] / С. А. Власов, В. В. Девятков, Ф. В. Исаев, М. В. Федотов // Ежемесячный научно-технический и производственный журнал. – 2012 – №7. – C. 117–123.
  12. Змеев, О. А. Шаблон объектного проектирования для реализации функциональности процесса моделирования в имитационных моделях систем массового обслуживания [Текст] / О. А. Змеев, А. В. Лезарев // Вестник Томского государственного университета. – 2011. – С. 108–111.
  13. Bajestani, N. S. Forecasting TAIEX using improved type 2 fuzzy time series.”[Text] / N. S. Bajestani, A. Zare // Expert Systems with Applications. – 2011. – № 38 (5). – P. 114–121.
  14. Henning, Baars Evaluation of RFID applications for logistics: a framework for identifying, forecasting and assessing benefits [Text] / Baars Henning, Daniel Gille, Jens Strüker // European Journal of Information Systems. – 2012. – № 32 (1). – P. 578–591.
  15. Змеев, О. А. Классификация коммерческих систем имитационного моделирования [Текст] : матер. всерос. конф. / О. А. Змеев, А. В. Приступа // Наука и практика: Диалоги нового века. – Анжеро-Судженск, 2012. – С. 93–95.
  16. Хинчин, А. Я. Работы по математической теории массового обслуживания [Текст] / А. Я. Хинчин. – М.: Либроком, 2010 — 240 с.
  17. Таха Хемди, А. Введение в исследование операций [Текст] / Хемди А. Таха; 7-е издание.: Пер. с англ. – М.: Издательский дом “Вильямс”, 2005. – 912 с.
  18. Сафонов, М. С. Прогнозування стану показників об’єктно-орієнтованої моделі в інформаційній системі [Текст] : зб. наук. пр. / М. С. Сафонов, О. Є. Яковенко // Інформаційні технології в освіті, науці та виробництві. – 2013. – Вип. 3 (4). – С. 92–98.
  19. Каталевский, Д. Ю. Основы имитационного моделирования и системного анализа в управлении [Текст] / Д. Ю. Каталевский. – М.: Издательство Московского университета, 2011. – 304 с.
  20. Основные модели информационных систем и способы увеличения их эффективности [Электронный ресурс] / Режим доступу: http://www.e-lines.ru/info/63-modeli-informacionnyh-system (13.02.13).
  21. Сафонов, М. С. Моделирование управления потоками данных в информационной системе [Текст] : сб. науч. тр. / М. С. Сафонов, А. Е. Яковенко // Одесский политехнический университет. – Компьютерные и информационые сети и системы. – 2013. – Вип. 1. – С. 97–103.
  22. Muha, V. S. (2010). Computing methods and computer algebra. Kyiv, 4.
  23. Chaudhuri, S., Gupta, M. R. (2011). International factor mobility, informal interest rate and capital market imperfection: a general equilibrium analysis. University Library of Munich, 55–60.
  24. Englert, P. A., Englert, P. A., Paraschos J. P., Deisenroth, M. P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching. Robotics and Automation. Japan, 173–180.
  25. Belkin, V. A., Poluyahtov S. A. (2011). Development of the theory of cyclic fluctuations of percent. The scientific bulletin of the Ural academy of public service: political science, sociology, economy, the right, 4(17), 87–94.
  26. Levchenko, N. G. (2011). Imitating model of the information management system in a maritime branch enterprise. Asia-Pacific Journal of Marine Science & Education, Vol. 1, № 1, 107–112.
  27. Tambovcevs, A., Merkuryev, Y. (2013). Using Gis for Freight Supply Chain Modelling. Imitating and complex modelling of sea technics and sea transport systems. The centre of technology of shipbuilding and ship repair. Saint Petersburg, 23–31.
  28. Babkin, Е. А., Razinkov, V. V. (2013). About forms of representation imitating событийных models of discrete systems. Imitating modelling. The theory and practice, Vol. 1, 109–113.
  29. Yakimov, I. М., Starceva, Y. G. (2013). Application of system of imitating modelling GPSS World with the expanded editor for training in HIGH SCHOOL. Imitating modelling. The theory and practice, Vol. 1, 367–371.
  30. Vlasov, S. A, Devatkov, V. V., Isaev, F. V., Fedotov, M. V. (2012). Imitation researches with the use of GPSS WORLD — are new possibilities. Monthly scientific and technical and production magazine. Automation is in industry 7, 117–123.
  31. Zmeev, О. А., Lazarev, A. V. (2011). Template of objective designing for realisation of functionality of process of modelling in imitating models of systems of mass service. The bulletin of Tomsk state university, 108–111.
  32. Bajestani, N. S., Zare, A. (2011). Forecasting TAIEX using improved type 2 fuzzy time series. Expert Systems with Applications, 38 (5), 114–121.
  33. Henning, Baars, Daniel, Gille, Jens, Strüker (2011). Evaluation of RFID applications for logistics: a framework for identifying, forecasting and assessing benefits. European Journal of Information Systems, 32, 578–591.
  34. Zmeev, О. А., Pristupa, A. V. (2012). Classification of commercial systems of imitating modelling. Science and practice: Dialogues of a new century. Anzhero-Sudzhensk, 93–95.
  35. Hinchin, A. Y. (2010). Works under the mathematical theory of mass service. Moscow, Librocom, 240.
  36. Taha Hemdii, А. (2005). Introduction in research of operations. Moscow, 912.
  37. Safonov, M. S., Yakovenko, A. E. (2013). The forecast of a condition of indicators of object-oriented model in information system. Information technologies in education, science and production, 3(4), 92–98.
  38. Katalevsky, D. J. (2011). Bases of imitating modelling and the system analysis in management. Мoscow: Publishing house of the Moscow university, 304.
  39. The basic models of information systems and ways of increase in their efficiency. (2013). Available at: www.e-lines.ru/info/63-modeli-informacionnyh-system.
  40. Safonov, M. S., Yakovenko, A. E. (2013). Modelling of management by data flows in information system. Works of the Odessa polytechnical university. Computer and information networks and systems. Odessa, 97–103.

Published

2014-04-09

How to Cite

Сафонов, М. С. (2014). Imitating modelling of data processing in information system. Eastern-European Journal of Enterprise Technologies, 2(4(68), 37–42. https://doi.org/10.15587/1729-4061.2014.23153

Issue

Section

Mathematics and Cybernetics - applied aspects