OPTIMIZATION OF PARAMETERS OF THE HIERARCHICAL MANAGEMENT SYSTEM FOR FUTURE INFORMATION AND COMMUNICATION NETWORKS

Abstract

The article addresses the problem of optimizing the information model of a hierarchical management system for future information and communication networks based on the Telecommunications Management Network (TMN) concept, taking into account ITU-T standards and Smart TMN models proposed by the TM Forum. The rapid development of infocommunication networks, characterized by increasing traffic volumes, complex heterogeneous architectures, and integration with 5G/6G, Internet of Things (IoT), cloud computing, and intelligent services, requires new approaches to network management that ensure high performance, reliability, and adaptability under dynamic operating conditions. The stages of formulating and solving the optimization problem are analyzed, including the definition of optimization goals, the selection of performance criteria (such as throughput, transaction time, availability factor, reliability, and fault tolerance), the identification of technical and operational constraints, and the choice of methods for achieving optimal quality indicators. The management process is modeled as a multiparameter optimization object described by vectors of control parameters, operating conditions, quality indicators, and constraints. Both deterministic and stochastic models are considered to account for random traffic fluctuations, uncertain loads, and unpredictable network failures.

Special attention is given to efficiency criteria related to system performance and reliability, including information delay minimization, throughput optimization, and improvement of system availability. The proposed methodological approach enables reducing control information latency, increasing the accuracy and reliability of management data, and ensuring stable network operation in emergency situations. The use of stochastic modeling and the guaranteed result principle allows obtaining robust solutions under uncertainty and adverse operating scenarios. The results of the study demonstrate that the proposed optimization approach improves the fault tolerance and reliability indicators of hierarchical network management systems and supports adaptive, service-oriented, and end-to-end management in accordance with Smart TMN concepts. The developed models and methods can be applied in the design and modernization of next-generation infocommunication networks, particularly for critical infrastructure systems where high availability and resilience are essential.