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Emulating enterprise network environments for fast transition to software-defined networking

机译:模拟企业网络环境以快速过渡到软件定义的网络

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Software Defined Networks are emerging as a new paradigm in data networks. While most corporate networks and datacenters (like Google, Cisco, Big Switch, etc.) are already on OpenFlow protocol utilizing SDN, a number of emulation platforms have emerged, such as Mininet. In this paper we propose an emulated enterprise/university Software-Defined network using Python and Mininet; we have also built a conventional network using ns-3 with the same number of nodes, topology, etc. Our tests show that our proposed network model outperforms the conventional/existing model in parameters like minimum and mean delay for ICMP and HTTP packets, as well as minimum and maximum convergence time, and therefore are a best solution to transition corporate networks with hundreds or more nodes, mainly due to the fast propagation of routing policies from the central controller.
机译:软件定义网络正在成为数据网络中的新范例。尽管大多数公司网络和数据中心(例如Google,Cisco,Big Switch等)已经在使用SDN的OpenFlow协议上使用,但已经出现了许多仿真平台,例如Mininet。在本文中,我们提出了使用Python和Mininet仿真的企业/大学软件定义的网络。我们还使用了具有相同数量的节点,拓扑等的ns-3建立了一个常规网络。我们的测试表明,我们提出的网络模型在参数(例如ICMP和HTTP数据包的最小和平均延迟)方面优于常规/现有模型。以及最小和最大收敛时间,因此是过渡具有数百个或更多节点的公司网络的最佳解决方案,这主要是由于从中央控制器快速传播了路由策略。

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