DECISION SUPPORT PRINCIPLES FOR MANAGING THE QUALITY OF SERVICES IN THE CORPORATE MULTISERVICE NETWORK OF INLAND WATERWAY BASIN ADMINISTRATIONS

Proposals for modifications of operational decision support methods for service quality management in the corporate multiservice communication network of the Volga-Balt Administration (Federal Budgetary Institution) have been developed. This multiservice network is based on the Next Generation Network. Such networks have a single hierarchical automated management system, the task of which is to ensure the sustainable functioning of both the administrative management bodies of the Volga-Balt Administration of various levels of the administrative hierarchy, and providing technological management of automated technical means for ensuring safe navigation. The features of the communication network of the Volga-Balt Administration are a large spatial scope, a large number of heterogeneous subscribers who need various communication services with given characteristics, as well as high dynamics of changing their condition. The automated network management system in these operating conditions must maintain the required quality of communication services. Thus, the relevance of the work is determined by the need to implement network management processes in a mode close to the real-time mode with a given quality, in conditions of dynamic change in the performance parameters and state of network elements. The basis of the proposed principles for supporting management decisions is the concept of the use of intelligent agents. In the developed approach, intelligent agents are functionally hierarchical fuzzy situational networks in which solutions, unlike methods based on the application of reference situations, are developed based on the results of solutions of the hierarchical system of optimization problems based on fuzzy mathematical programming methods. Coordination and adjustment of solutions of the optimization tasks system is carried out on the basis of the Bellman-Zade principle. This allows you to significantly reduce the time to solve optimization problems and get Pareto - optimal solutions for managing the quality of communication services. Intelligent agents can implement management solutions in automatic mode, provided that the network administrator delegates such capabilities to them.

corporate multiservice network, hierarchical fuzzy situational network, intelligent agent, fuzzy logical output, fuzzy mathematical programming, operation of communication systems in water transport

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