February 2025
Limitation of black-market media influence through designing LLM tool for content analysis
2025, vol.17 , no.1, pp. 13-24
Article [2025-01-02]
The meaning and importance of restricting black-market media are identified. A clear definition of Large Language Models (LLMs) as part of Artificial Intelligence (AI) is given. These two terms are associated with preventing the negative influence of media on the masses. The research blends two trending topics - Generative AI and content analysis through the prism of Artificial Intelligence. A classification of software tools that use Generative AI in the context of content analysis is given. The paper proposes a methodology for designing and developing an LLM tool. All the included steps are described in detail. The key steps and approaches are described as constructive parts of the tool. A list of best-practice examples of applications that use content analysis with Large Language Models is presented. As a result, a combination of innovative technologies, modern approaches, and defined challenges in solving problems with interdisciplinary character is presented.
Boyana Ivanova, Rumyana Bratanova. Limitation of black-market media influence through designing LLM tool for content analysis. International Journal on Information Technologies and Security, vol.17 , no.1, 2025, pp. 13-24.
Improving the efficiency of using the resources of virtual data centers with a heterogeneous structure by repositioning virtual machines
2025, vol.17 , no.1, pp. 3-12
Article [2025-01-01]
The article presents an approach to managing virtualized data centres (VSDDC), which are based on virtual machine hypervisors – software management modules that allow multiple virtual machines to use the resources of a single server platform. The aim of the work is to increase the efficiency of using VSDDC resources with a heterogeneous structure through the development of mathematical and software for the relocation of virtual machines. As a result, a model of multidimensional representation of virtualized resources has been developed, taking into account the normalized value of their use by live migration algorithms and providing the possibility of calculating their imbalance, which determines the need to perform the process of repositioning virtual machines; an algorithm for repositioning virtual machines has been created based on a reasonably chosen method of solving the problem of multidimensional combinatorial optimization; an architecture of a software-implemented support system for repositioning virtual machines in VSDDC has been proposed with a heterogeneous structure; An experimental study was conducted to evaluate the efficiency of using VSDDC resources based on the proposed algorithm for solving the problem of reallocation of virtual machines for various variants of the VSDDC structure.
O. Ja. Kravets, E. I. Mutina, O. Yu. Zaslavskaya, Yu. V. Redkin, P. A. Rahman, I. A. Aksenov, Kamil Wisam Abduladheem Kamil. Improving the efficiency of using the resources of virtual data centers with a heterogeneous structure by repositioning virtual machines. International Journal on Information Technologies and Security, vol.17 , no.1, 2025, pp. 3-12.