走向软件定义的认知网络

Ijaz Ahmad, Suneth Namal, M. Ylianttila, A. Gurtov
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引用次数: 19

摘要

认知网络通过授权网络组件自动调整以适应不断变化的网络环境,具有实现自主网络管理的潜力。然而,当前使用的通信模型层之间的严格隔离以及网络设备的静态特性限制了认知网络的部署。软件定义网络(SDN)将网络架构与其基础设施分离开来,从而能够从逻辑上集中的服务器对网络设备进行编程控制。通过采用SDN的原理,我们提出了软件定义的认知网络(SDCoN),以整合认知网络的动态性和SDN的可编程控制。在本文中,我们提出了SDCoN框架和SDCoN测试平台的初步结果,揭示了所提出的基于sdn的认知网络架构的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards software defined cognitive networking
Cognitive networking has the potential to enable autonomic network management by empowering the network components to automatically adjust to the changing network environment. However, strict isolation between the layers of the currently used communication model and static nature of networking equipment have delimited the deployment of cognitive networks. Software Defined Networking (SDN) separates the network architecture from its infrastructure to enable programmatic control of networking equipment from logically centralized servers. By adopting the principles of SDN, we propose software defined cognitive networking (SDCoN) to integrate the dynamism of cognitive networking and programmatic control of SDN. In this paper, we present the SDCoN framework and initial results from the SDCoN testbed that reveal the success of the proposed SDN-based cognitive networking architecture.
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