Організація Сloud-архітектури для систем забезпечення функціональної придатності статичних систем

Abstract

The article deals with the approach to the organization of Cloud-architecture for the systems of providing the functional suitability of static systems, namely implementation the functions of the system during a certain time and under certain operating conditions. Compared to the traditional approach, cloud computing allows to manage a largeinfrastructure, to serve different groups of users within a single cloud. The methods of modeling the functional suitability of static systems based on the definition of the index of functional suitability, which is mathematically formulated as an optimization problem with the purpose function of providing requirements to the characteristics of the system, are studied. The solutionof the task of ensuring the functional suitability as the nonlinear optimization problem cannot be implemented in practice. Therefore, since there is such a problem, it is expedient to form the purpose function of the task of ensuring the functional suitability, based on the given limitations on the value of the output characteristics. In such a statement, the task of ensuring the functional suitability can be solved by the method of interval data analysis. In parallel, when solving this problem, it is necessary to calculate the parameters of the elements of the system in such way, that taking into account their deviations, which are given by tolerances, ensure the functional suitabi l ity of the system. These tasks have an extraordinary practical value, and the existing methods of its solution have a high comput ational complexity. From this, we can conclude that the development of a multi - user system based on client-server cloud architecture, which would enable implementation with low computational and time complexity of the methods of modeling and ensuring the functional suitability of static systems is an actuality task. The article gives an example of multi - user software system for different types of models of static systems, which enables to study the data of various types of tasks of providing the functional suitability, the methods of its estimation, and also to analyze the results of previous calculations, which are stored in a cloud. The development results presented in the article can be interpreted for the tasks of modeling different types of static systems for simplify their time and computational complexity during implementation.