On optimization of of network traffic according to the communication matrix

The article is devoted to the search for solutions to optimize multiservice network traffic taking according the switching matrix by increasing the capabilities of network equipment with restrictions on their number with the ability to implement the algorithm as a Virtual Network Function for a Software-Defined Network. It is assumed that the networks are represented by an undirected complete connected planar graph.

CALCULATION OF THE EFFEC TION OF THE EFFECTIVENESS OF THE FUNC TIVENESS OF THE FUNCTIONING TIONING OF MULTISERVICE COMMUNICA VICE COMMUNICATION NE TION NETWORKS T WORKS TAKING IN AKING INTO ACCOUNT DROPPED P T DROPPED PACKETS

Background. The article discusses the formalization of performance indicators of a multiservice network management system based on the use of hybrid neural-fuzzy technology that combines the advantages of fuzzy logic and neural networks. A developed fuzzy neural model was subsequently used to make a decision about the transfer of real time streams through the channel of the multi-servo network. Methods for assessing the effectiveness of multiservice communication networks can be conditionally divided into three large groups: technical, economic and technical and economic. As the technical characteristics of the efficiency of the computer network, various indicators of network performance and reliability are used. Estimates of the costs of designing, installing and maintaining the network are used as economic characteristics. Technical and economic indicators are used for a comprehensive assessment of the project, and include various combinations of technical and economic characteristics. The response time is an integral performance characteristic, the most important for the network subscriber.