The problem of computer equipment distribution at the machine-building enterprise

The paper discusses the problem of the computer equipment distribution between units of a large engineering enterprise. It is shown that automated accounting of the state of a large number of computer facilities is essential for organizing effective resource management. In this case, it is necessary to develop optimal control algorithms for the computational problems distribution and related computer equipment. The task of optimal use of computer equipment in industrial enterprises is one of the most important in modern information technologies. This is due to the fact that the operation, maintenance and modernization of computing equipment require significant financial costs. The organizational structure of the space industry engineering company is considered. It is shown that a decisive role for the efficient distribution of computational resources is keeping the whole range of tasks performed. The correspondence of the task’s types to the types of computer equipment and the production orientation of units is given. A system model of an evolving information system based on lattice algebraic models is described. It represents a complex of two models: structural and behavior models depending on the set of tasks being solved. The statement and solution of the problem of optimizing the computer technology distribution taking into account the types and configurations of computers is the main scientific result of the article. The problem of optimizing the of computer equipment distribution taking into account the computers types and configurations is formulated. The cost minimization problem with the corresponding restrictions relates to discrete programming problems with Boolean variables. Constraint equations relate the distribution of tasks to units, as well as computer hardware parameters. A graph model of the variables relationship for the discrete optimization problem is proposed. The results of experimental studies in the distribution of computer resources based on the solution of the optimization problem are considered. The proposed methodology allowed reducing the amount of purchased computer equipment and operating costs.