Zhebka V. Methodological basics of functionally stable heterogeneous telecommunication network management with variable structure in the conditions of destabilizing factors influence

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0521U100883

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

16-04-2021

Specialized Academic Board

Д 26.861.05

State University of Telecommunications

Essay

The methodological basics of functionally stable heterogeneous telecommunication network management with variable structure in the conditions of destabilizing factors influence on the basis of the improved intellectual and computing block of a network have been originally received in the work. This allows to effectively manage a heterogeneous telecommunications network while increasing the number of smart devices in it and emergencies. The concept of increasing the compatibility of the heterogeneous telecommunications network equipment, exposed to destabilizing factors, the scientific novelty of which is that it is based on the study of compatibility of equipment, which, in turn, determines the reconfiguration management taking into account frequency and time, physical nature and environment of destabilizing factors have been developed. The proposed concept will increase the number of network users without overloading it. A construction algorithm for short- and medium-term forecasts of possible network failures based on an improved method of machine learning has been developed. To implement the algorithm, a model of a pairwise exponential Markov random field should be constructed; this reflects the Markov structure for different variables and includes different distributions. By using proposed in the work fast recoveries, the solution process is accelerated, and the variable multiplier method becomes more scalable than other methods. A technique of the heterogeneous telecommunication network decentralized management, based on the use of an intelligent unit, which, in turn, is based on machine learning and blockchain technology has been developed. The proposed technique allows to reduce the amount of service information in the network, thereby reducing the network load and providing an effective response to emergencies. The information technology of fast reaction and the influence of destabilizing factors counteraction have been offered. The technology is based on the step-by-step collection of information on the effects of the system operations and emergencies on the hardware resources of the telecommunications network and the development of appropriate countermeasures based on their analysis. This will maintain the functional stability of the network and reduce the time to restore the network in emergency situations. The proposed technology is based on the concept of self-learning, based on constant updating of the database. The information technology, proposed in the work, allows to reduce the load on the heterogeneous telecommunication network and to reduce the response time to the occurrence of an emergency situation.

Files

Similar theses