On the Application of Game theory for Multiagent system-based Cognitive Performance Management in Software-defined networks

Nowadays, cognitive multiagent self-organization is the subject of intensive research in the field of info-communication technology. 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. The purposes of this work 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.

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