ПРОЕКТУВАННЯ СТРУКТУРИ ІМІТАЦІЙНОЇ МОДЕЛІ ГЕТЕРОГЕННОГО ВІРТУАЛІЗОВАНОГО ЦЕНТРУ ОБРОБКИ ДАНИХ

Relevance of the study. In real operating conditions, data centers are formed on the basis of heterogeneous hardware platforms, networking solutions, and software environments, which leads to the emergence of heterogeneous computing infrastructures. Such heterogeneity complicates resource management processes, load balancing, and the provision of a specified level of service quality. The object of the study is the data processing process in a heterogeneous virtualized data center as a complex multi-component computing system that integrates diverse hardware, software, and network resources into a unified infrastructure. The subject of the study comprises methods and tools for simulation modeling of the functioning processes of a heterogeneous virtualized data center, in particular models of interaction among heterogeneous resources, mechanisms of their virtualization, and load distribution algorithms. The purpose of the study is to design and investigate the structure of a simulation model of a heterogeneous virtualized data center that makes it possible to analyze the impact of heterogeneity of computing, network, and software resources on system performance, as well as to evaluate performance, scalability, and resource management characteristics under virtualization conditions. Research results. In the course of the work, the structure of a simulation model of a heterogeneous virtualized data center was developed, taking into account the heterogeneity of hardware and software resources; the choice of a simulation environment for studying the functioning processes of the heterogeneous virtualized data center was substantiated; a simulation model was implemented that allows investigation of the impact of resource heterogeneity on the performance and efficiency of the virtualized infrastructure; quantitative and qualitative indicators of the functioning of the heterogeneous virtualized data center under various load scenarios were obtained; the modeling results were analyzed and recommendations were formulated to improve the efficiency of managing heterogeneous resources. Further research will be aimed at extending the simulation model to account for energy consumption and energy efficiency of heterogeneous resources.