розподіл ресурсів

In this study, we explore the intricacies of cloud computing technologies, with an emphasis on the challenges and concerns pertinent to resource allocation. Three opti- mization techniques—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA) — have been meticulously analyzed concerning their applications, objectives, and operational  methodologies. The study underscores these algorithms' pivotal role in enhancing cloud resource optimization, while also elucidat- ing their respective merits and limitations.

The distribution of resources is an important scientific and practical task, as it concerns all areas of human activity, the field of information technologies is no exception. A study was conducted, which showed that today there are many approaches to solving the given problem, each of which is characterized by certain features. Known methods of resource allocation are analyzed, their classification is given and it is shown that they are mainly defined as linear programming problems, resource allocation matrices or are implemented on the basis of empirical knowledge.

Розглянуто проблеми розподілу ресурсів. Оптимізація розподілу дає змогу збільшити доходи та спростити виробничий процес. Розглянуто традиційну структуру процесу розподілу ресурсів та структуру на рівні основних компонентів.

Individual elements of systems and networks using radio links, to interfere with other network elements, and in turn, they are subject to interference effects. Designed by many methods, techniques, theoretical studies devoted to improving the electromagnetic environment in radio, the problem of electromagnetic compatibility. We can assume that in a hospital, especially when considering dueling (transmitter — receiver) electromagnetic compatibility problems at the design stage is almost solved.