On Routing Scalability in Flat SDN Architectures

H. Ravuri, M. T. Vega, Jeroen van der Hooft, T. Wauters, Bin Da, F. Turck
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引用次数: 3

Abstract

The rigidity of traditional network architectures, with tightly coupled control and data planes, impair their ability to adapt to the dynamic requirements of future application domains, such as the Tactile Internet or Holographic-Type Communications. Software-Defined Networking (SDN) architectures, which provide programmability to configure the network, have the potential to provide the required dynamism. However, given its centralized essence, SDN suffers from scalability issues. Therefore, efforts have been made to propose alternative decentralized solutions, such as the flat distributed SDN architecture. Despite its potential, the real applicability and scalability of decentralized SDN solutions are still open research questions. This paper presents a comparative analysis of the effects of different routing approaches on the scalability of flat distributed SDN architectures. Using the Open Network Operating System (ONOS) as our evaluation architecture, we have studied the tradeoff between routing overhead in the control data plane and inter-controller communications for different degrees of decentralization. We have found that routing applications, which only require control-data plane communication for setting the path, benefit more from decentralization than the ones which utilize inter-controller communications and ensure Quality of Service (QoS). Our findings highlight the need for efficient routing mechanisms to deal with inter-controller overhead while lowering the amount of control-data plane communication.
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平面SDN架构下的路由可扩展性研究
传统网络架构的刚性,控制平面和数据平面的紧密耦合,削弱了它们适应未来应用领域(如触觉互联网或全息通信)动态需求的能力。软件定义网络(SDN)体系结构提供了配置网络的可编程性,有可能提供所需的动态性。然而,鉴于其集中的本质,SDN存在可伸缩性问题。因此,人们一直在努力提出可替代的分散解决方案,例如扁平化分布式SDN架构。尽管其潜力巨大,但分散式SDN解决方案的真正适用性和可扩展性仍然是一个开放的研究问题。本文比较分析了不同路由方式对平面分布式SDN架构可扩展性的影响。使用开放网络操作系统(ONOS)作为我们的评估体系结构,我们研究了控制数据平面中的路由开销和不同程度去中心化的控制器间通信之间的权衡。我们发现,只需要控制数据平面通信来设置路径的路由应用程序,比那些利用控制器间通信并确保服务质量(QoS)的应用程序更受益于分散。我们的研究结果强调需要有效的路由机制来处理控制器间的开销,同时降低控制数据平面通信的数量。
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