Duravkin E. Models and methods of multiservice networks management with artificial intelligence elements

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0512U000688

Applicant for

Specialization

  • 05.12.02 - Телекомунікаційні системи та мережі

03-10-2012

Specialized Academic Board

Д64.052.09

Essay

Object - the process of development and operation of the service management in multiservice networks. The purpose - to improve the quality of service in multiservice networks by improving the development process of network management and implementation management services, using the elements of artificial intelligence. Methods - theory, set theory, fuzzy sets theory, graph theory, neural networks, the theory of formal grammars, the unit E-networks, temporal logic. methods of mathematical statistics, probability theory, queuing theory, communication theory, field and simulation, methods of mathematical statistics. The results - the first time a method to support the development of systems and network management protocols are based on the structural and quantitative characteristics of the various stages of the life cycle, was further developed integrated service management method, the novelty lies in the use of information on the current level of QoS, is keeping the atomic services with shaping the structure and composition of complex services, it ensures overall QoS, has been further developed method of control traffic on the level of government services in multiservice networks, innovation is to use information about the current and projected state of the transport medium, which reduced the transmission of data, the volume of service traffic and provide a balanced load channels of the saints, for the first time a method of reliability of service in multiservice networks, built on a Service-Oriented Architecture through the use of scripts monitoring service instances, the first time a method for increasing the availability of services in multiservice networks, built on a Service- oriented architecture, by monitoring the load and replication service instances. Implemented - in education KHNURE, company "CiEc Consulting" in the development of running traffic in the segment of the telecommunications network, the draft Ltd. "RealInvest Soft". Sphere of application - multiservice telecommunication systems and networks

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