A Game Theory-Based Effective Network Management in SDN Networks

M. Abderrahim, Asma BEN LETAIFA, Amel Haji, S. Tabbane
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引用次数: 1

Abstract

Knowing the rapid growth of traffic in the mobile network, connected devices and the variety of services and applications run in recent years, the current network architecture no longer supports this increase in traffic. In this sense, we benefit from many technologies such as Software Defined Networking (SDN), Mobile Edge Computing (MEC) and new tools like Machine learning (ML) and artificial intelligence (AI) to propose a new architecture where we add a new intelligent entity that facilitates the management and efficient allocation of network resources. But, the placement of this node can present a problem. In this article, we formulate this problem using the Game Theory. First, we begin by presenting the technologies and tools used in this work. In the second place, we present the architecture model and do a modeling to find the optimal placement of Smart Node in the network. Then we propose a scenario to prove the usefulness of the proposed model.
基于博弈论的SDN网络有效网络管理
随着近年来移动网络、接入设备以及各种业务和应用的快速增长,现有的网络架构已经无法支持这种流量的增长。从这个意义上说,我们受益于许多技术,如软件定义网络(SDN)、移动边缘计算(MEC)和机器学习(ML)和人工智能(AI)等新工具,提出了一个新的架构,我们在其中添加了一个新的智能实体,促进了网络资源的管理和有效分配。但是,这个节点的位置可能会出现问题。在本文中,我们使用博弈论来阐述这个问题。首先,我们将介绍这项工作中使用的技术和工具。其次,我们提出了智能节点的体系结构模型,并进行了建模,以找到智能节点在网络中的最佳位置。然后,我们提出了一个场景来证明所提出模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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