Підхід до математичного моделювання ефективності web-ресурсів
Modeling of estimation processes of functioning efficiency level of information web-resources is considered in the paper. The application of stochastic models with thresholds is represented. An approach to estimation of the parameters of these models is proposed. A number of experimental researches...
Збережено в:
| Дата: | 2020 |
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| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Vinnytsia National Technical University
2020
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| Теми: | |
| Онлайн доступ: | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/549 |
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| Назва журналу: | Optoelectronic Information-Power Technologies |
Репозитарії
Optoelectronic Information-Power Technologies| Резюме: | Modeling of estimation processes of functioning efficiency level of information web-resources is considered in the paper. The application of stochastic models with thresholds is represented. An approach to estimation of the parameters of these models is proposed. A number of experimental researches has been carried out. The researches were executed using real data of a web-resource functioning. Based on the experiments, an efficiency of the proposed approach has been approved. To estimate an efficiency of the information web-resources functioning, it is necessary to use mathematical models. These models allow to solve the tasks of software algorithms optimization and usage of technical resources. Their building requires a comprehensive research of the web-resources functioning processes taking into account the influence of all elements of a system on its functioning. The fundamental difference between the model proposed in this paper and the threshold autoregressive and time-dependent autoregressive moving average models consists primarily in the fact that the values of a modeled indicator are identified by only available parts. Therefore, instead of a time series model, models of dynamic observation systems are used. In addition, there is the possibility of multiple modes change in the evolution process of an observation system. |
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