Abstract:The provision for effective operation of critical infrastructures (CI) is approached by taking into account priorities for their safety and reliability. This paper substantiates practical aspects of introducing CI management based on technical megastate. It presents relevant mathematical models based on the principles of analysis and assessment of infrastructure systems safety.
Рассматриваются особенности интеллектуального анализа процессов информационного обслуживания систем мониторинга окружающей среды для повышения оперативности получаемых решений. Показана возможность использования современных инструментальных средств кластеризации объектов инфокоммуникационной сети в соответствии с характерными особенности динамики их функционирования при решении задач мониторинга окружающей среды. Полученные результаты могут быть использованы при структурной и параметрической оптимизации инфокоммуникационных систем, используемых при вычислительном обслуживании процессов мониторинга окружающей среды. Ключевые слова: мониторинг окружающей среды, интеллектуальный анализ данных, инфокоммуникационная система, информационное обслуживание, классификация, R Поступила в редакцию: 27.11.2019. После доработки: 12.12.2019.
This paper proposes an approach for solving management model environment objects parametric adaptation based on the queuing systems domination procedures with random input data stream problem. A constructing majorizing system algorithm based on the majorization problem solution is proposed. The system provides environment monitoring system structure with its performance, input data stream intensity and processing labor-intensive balancing. The detailed experiment findings are discussed.
A model of a cloud-based system for processing environmental monitoring data is proposed. The model takes into account the multi-tier web applications and the heterogeneity of the input flow of applications. As a characteristic of the efficiency of the data processing system, an additive criterion is chosen that takes into account the volume of processed requests and the load on the resources of the cloud infrastructure. The approach under consideration will allow creating a basis for modeling the processes occurring in natural-technical systems (NTS), analyze data processing processes during monitoring of key performance indicators of NТS and ensure that these indicators meet the requirements specified in SLA agreements through the use of alternative data processing strategies.
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