ТРАНСФОРМАЦИЯ ПОДХОДОВ К УПРАВЛЕНИЮ СОВРЕМЕННЫМИ СЕТЯМИ СВЯЗИ

Abstract

Modern communication networks for special purposes —communication networks designed for the needs of state authorities, the needs of the country's defense, state security and law enforcement - these are complex decentralized network structures that use the resources of public communication networks and commercial communication protocols. The management of such structures requires a transition to new management models, since hierarchical and distributed static network management systems, such as TMN and OSS/BSS, no longer fully meet the requirements for managing state and military networks. These systems provide only partial automation of decision-making in network management. They are still not ready for constant changes and are not able to adapt to them because of their rigidly static nature. Also, over time, control systems will encounter such a problem as the heterogeneity and mobility of a huge number of network devices in the - mobile control and managed devices, drones, wearable networks, etc. As a result of all of the above, it becomes necessary to search for new models and methods for building telecommunication management systems. From the point of view of managing such infrastructures, the transition to distributed cognitive management models, as well as models that take into account the volume and context of data generated by control systems in the process of their functioning, is gaining importance. In this paper, the authors considered the evolution of networks control models: starting with traditional approaches and moving on to modern models and methods for managing telecommunications of the future. In the course of the study, in addition to studying traditional approaches to telecommunication management, a cognitive model based on multi-agent self-organization was identified and the relevance of this approach to managing post-NGN networks was examined.