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Article 5-8-2019

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GAME THEORY-BASED COGNITIVE MODEL FOR DYNAMIC PERFORMANCE MANAGEMENT IN SOFTWARE-DEFINED NETWORKS 

Nguyen Cong Danh, SPbGUT, St. Petersburg, Russia, nguyencongdanh0109@gmail.com
Boris S. Goldstein, SPbGUT, St. Petersburg, Russia, bgold@niits.ru
Vasiliy S. Elagin, SPbGUT, St. Petersburg, Russia, elagin.vas@gmail.com
Anastasia V. Onufrienko, SPbGUT, St. Petersburg, Russia, anastasia.4991@mail.ru

 

Abstract
Nowadays, cognitive multiagent self-organization is the subject of intensive research in the field of info-communication technology, because today, management solutions for traditional multimedia services are outdated, which creates new problems in the operation of telecommunication equipment.This state-of-the-art in constructing distributed intelligent systems for telecommunication management is already receiving attention both from researchers and from industrial application developers. This article discusses the basic models of multi-agent self-organization for telecommunications management. A key point in cognitive network management models is the construction of autonomous decision-making mechanisms. The purposes of this paper are to present the implementation of a game theory-based cognitive model for network performance management, to analyze the possibilities of using this model in dynamic orchestration and resource allocation use cases in software-defined networks. Thus, special attention has been devoted to the developed multiagent management system architecture, the stages of which form various game-theoretic models with the participation of intelligent software agents, designed to organize automated coordination of requests from the application layer to the corresponding network resources. The authors proposed an approach to agent training based on the linear regression method for predicting the value of waiting time. The developed multi-agent system based on the game-theoretic approach shows new opportunities for implementing new telecommunication management systems.

Keywords:multiagent self-organization, network management, request and resource matching, resource allocation, SDN, post-NGN.

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Information about authors:
Nguyen Cong Danh, postgraduate, Department of Infocommunication systems of SPbGUT, St. Petersburg, Russia
Boris S. Goldstein, Professor of the Department of Infocommunication systems of SPbGUT, St. Petersburg, Russia
Vasiliy S. Elagin, associate Professor of the Department of Infocommunication systems of SPbGUT, St. Petersburg, Russia
Anastasia V. Onufrienko, postgraduate, Department of Infocommunication systems of SPbGUT, St. Petersburg, Russia