Calculation Methods of the Prognostication of the Computer Systems State under Different Level of Information Uncertainty
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Title |
Calculation Methods of the Prognostication of the Computer Systems State under Different Level of Information Uncertainty
Методи розрахунку прогнозування стану комп'ютерних систем при різному ступені невизначеності інформації Методы расчета прогнозирования состояния компьютерных систем при различной степени неопределенности информации |
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Creator |
Атаманюк, Ігор Петрович
Атаманюк, Игорь Петрович Atamanyuk, Igor Кондратенко, Юрій Пантелійович Кондратенко, Юрий Пантелеевич Kondratenko, Yuriу Шебанін, В’ячеслав Сергійович Шебанин, Вячеслав Сергеевич Shebanin, Vyacheslav |
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Subject |
calculation method
random sequence canonical decomposition prognostication of the state computation mathematical model метод расчета случайная последовательность каноническое разложение прогнозирование состояния вычисление математическая модель метод розрахунку випадкова послідовність канонічне розкладання прогнозування стану обчислення математична модель |
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Description |
Calculation methods of the prognostication of the computer systems state under different volume of a priori information and accuracy of the meas-urement of controlled parameters (under absence and presence of measurement errors) are obtained in the work. Canonical expansions of random sequences of the indices characterizing the state of the investigated systems considered as ba-sic features of the methods. Synthesized methods do not impose any significant limitations on the qualities of the sequence of the change of the forecast pa-rameters (linearity, stationarity, Markov behavior, monotoneness, etc.) and al-low to take into account the stochastic peculiarities of the process of function-ing of the investigated objects as much as possible. Expressions of the determi-nation of a mean-square extrapolation error are obtained for solving the prog-nostication problems specifically concerning the state of computer systems un-der different level of information uncertainty.
Mykolayiv National Agrarian University |
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Date |
2018-12-14T07:38:53Z
2018-12-14T07:38:53Z 2016 |
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Type |
Article
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Identifier |
Atamanyuk I. Calculation Methods of the Prognostication of the Computer Systems State under Different Level of Information Uncertainty / I. Atamanyuk, V. Shebanin, Yu. Kondratenko // Proceedings volume of 2nd International Workshop on Theory of Reliability and Markov Modeling for Information Technologies (TheRMIT) in ICTERI 2016, Kyiv on the 21st-24-th of June. – Kyiv, 2016. – pp. 292-307.
http://dspace.mnau.edu.ua/jspui/handle/123456789/4999 |
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Language |
en
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Format |
application/pdf
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