resource allocation

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.

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.

The problem of video streaming over LTE network is analyzed. The mathematical model of resource allocation of LTE is offered during video streaming. It provides different service schedule for heterogeneous mobile traffic. It allows assuring the demanded quality parameters for better user experience. The goal of the paper is to increase the LTE user experience delivering video content over the radio access network.

The problem of growth of the mobile data traffic and the number of services becomes global, moreover, volume and frequency of control traffic transmitted through the network are increasing, and therefore there is a need for its effective management to ensure the quality of service required by users and optimal use of mobile network resources. In such circumstances, the load on the server that is created in the process of establishing the connection and its serving has its considerations.