Abstract
The article solves the actual scientific task of optimizing the use of server resources of a military cluster system in the process of processing a large number of client requests. The setting of this scientific task is due to the need to eliminate the dependence of the efficiency indicators of the existing methods of balancing the load of cluster systems on the quality of training, as well as a rather narrow approach of the analyzed scientific studies to the study of the influence of the properties of verifiability, robustness and the guarantee of optimality on the final decision-making result. A study of existing approaches to the optimal use of cluster system resources was conducted. Based on the results of the analysis, methods based on the game-theoretic scientific-methodical apparatus were selected as the most appropriate approach to the formal description of the functional interaction of servers with client requests, as well as an approach that does not require the generalization of empirical experience (learning). A model of the optimal use of resources of the military cluster system is proposed, which is based on the hybridization of the application of the game-theoretic approach and the theory of fuzzy logic. The essence of the proposed model is to determine the necessity of decomposition of the received task into subtasks, initiated by the client request, by means of the theory of fuzzy logic with the aim of further finding the optimal distribution of the use of cluster system servers based on the Nash equilibrium, taking into account the generalizing indicator of the current level of their workload. The obtained results are considered as a basis for the implementation of new adaptive systems for balancing the load of nodes of the cluster system, the application of which allows optimal use of the resources of the cluster system of military purpose in a stable balance.
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