A robust SDN network architecture for service providers

Femando Lopez-Rodriguez, Divanilson R. Campelo
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引用次数: 10

Abstract

Large scale networks, such as those deployed by Service Providers (SPs), employ robust architectures, capable of supporting large volumes of traffic with very different characteristics. Their network equipment has significant processing load, being responsible for building both a routing logic and the routing of traffic itself. By having the network control implemented in a distributed manner and being built with a limited number of vendors, these networks have limitations of control and traffic engineering, hindering the differentiation among SPs. Additionally, the network intelligence is hidden in the network equipment, making innovations very slow and conditioned to the vendors interests. As an alternative option, this work proposes a Software Defined Networking (SDN)-OpenFlow network architecture that attempts to improve the previously mentioned problems, and, at the same time, to solve the arising difficulties related to the SDN network centralized feature. With the proposed architecture, a robust SP SDN-OpenFlow network is created to support high controller response times and controller outages, without additional delays in the creation of flows and with significant reduction of the controller load. A prototype has been built using Open vSwitch as a virtualization software for OpenFlow clients, Mininet for the topology construction and Ryu as the controller, all with OpenFlow 1.3 support. The obtained results are general and can be extended to other types of networks.
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为服务提供商提供健壮的SDN网络架构
大型网络,例如由服务提供商(sp)部署的网络,采用健壮的体系结构,能够支持具有非常不同特征的大量流量。他们的网络设备具有显著的处理负载,负责构建路由逻辑和流量本身的路由。由于网络控制以分布式方式实现,并且由有限数量的供应商构建,这些网络具有控制和流量工程的局限性,阻碍了sp之间的区分。此外,网络智能隐藏在网络设备中,使得创新非常缓慢,并且受制于供应商的利益。作为一种替代方案,本工作提出了一种软件定义网络(SDN)-OpenFlow网络架构,试图改善上述问题,同时解决与SDN网络集中特性相关的困难。根据所提出的架构,创建了一个强大的SP SDN-OpenFlow网络,以支持高控制器响应时间和控制器中断,而不会在创建流时产生额外的延迟,并显着降低控制器负载。使用openvswitch作为OpenFlow客户端的虚拟化软件,Mininet作为拓扑结构,Ryu作为控制器,构建了一个原型,所有这些都支持OpenFlow 1.3。所得结果具有普遍性,可推广到其他类型的网络。
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