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Improving Resiliency in SDN using Routing Tree Algorithms

机译:使用路由树算法提高SDN的弹性

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The ability to recover the control logic after a failure is detected in specific time window is called resiliency. The Software Defined Network (SDN) is an emerged and powerful architecture which allow to separate the control plane from forwarding. This decoupling architecture brings new difficulties to the network resiliency because link failure between switch and controller could defunct the forwarding plane. It has been identified that the resiliency of the network can be improved by choosing the correct place for the controller and by choosing proper routing tree once the controller location is known. In this work, we have analysed the performance of various Routing Tree algorithms on different network topology generated by Bernoulli Random Graph model and found that Greedy Routing Tree (GRT) provides the maximum resiliency. The Closeness Centrality Theorem has proposed to find the best controller position and later analysed the performance of various single controller placement algorithms on GRT for finding the overall improvement of the resiliency of the network.
机译:在特定时间窗口内检测到故障后恢复控制逻辑的能力称为弹性。软件定义网络(SDN)是一种新兴且功能强大的体系结构,可将控制平面与转发分离。这种去耦架构给网络弹性带来了新的困难,因为交换机和控制器之间的链路故障可能会使转发平面失效。已经确定,可以通过为控制器选择正确的位置并通过在知道控制器位置后选择适当的路由树来提高网络的弹性。在这项工作中,我们分析了伯努利随机图模型生成的各种路由树算法在不同网络拓扑上的性能,发现贪婪路​​由树(GRT)提供了最大的弹性。紧密度中心定理提出了寻找最佳控制器位置的建议,随后分析了GRT上各种单个控制器放置算法的性能,以寻求网络弹性的整体提高。

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