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Modeling flow setup time for controller placement in SDN: Evaluation for dynamic flows

机译:在SDN中为控制器放置建模流程建立时间:动态流程评估

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Software-Defined Networking (SDN) controllers are network entities that act as strategic control points in an SDN network. Controller placement studies mostly aim at optimizing network performance in terms of control latency, reliability and resilience, given network characteristics that are static. Yet dynamic traffic conditions, if not adapted by the controller placement properly, may cause high end-to-end flow setup time. For reactive controllers, the end-to-end flow setup time of a flow implies the difference between sending time at the source and receiving time at the sink of the first packet in that flow. Therefore, end-to-end flow setup time indicates the amount of time needed to set up forwarding rules in all involved switches and acts as a primary concern in terms of service establishment of network operators. In this paper, we analyze the controller placement for dynamic traffic flows based on a combined controller placement model: controller locations and switch-to-controller assignments are simultaneously optimized for minimum average flow setup time with respect to different traffic conditions inside the network. Linearization method is applied to transform the problem into a Mixed Integer Programming (MIP) problem which can be solved optimally. Two derivatives are also presented for comparison, one optimizing only controller locations and the other optimizing only switch-to-controller assignments. Our simulations cover two real network topologies and we explain the effects of the models have on the flow setup time with respect to dynamic flows. For low flow densities, the controller placement that adapts to flows could reduce the average flow setup time by about 50% compared to the static placement. However, when densities are high, the need of changing controller placement to guarantee flow setup performance is marginal.
机译:软件定义网络(SDN)控制器是充当SDN网络中的战略控制点的网络实体。在给定的网络特性是静态的情况下,控制器布局研究的主要目的是在控制等待时间,可靠性和弹性方面优化网络性能。然而,动态的交通状况,如果不能通过控制器的适当放置来适应,可能会导致端到端的流量设置时间过长。对于无功控制器,流的端到端流建立时间意味着该流中第一个数据包的源发送时间与接收时间之间的差。因此,端到端的流建立时间表示在所有涉及的交换机中建立转发规则所需的时间,并成为网络运营商服务建立的主要考虑因素。在本文中,我们基于组合的控制器布局模型来分析动态交通流的控制器布局:针对网络内部不同的交通状况,同时优化了控制器位置和开关到控制器的分配,以最小化平均流量建立时间。应用线性化方法将问题转换为可以最佳解决的混合整数规划(MIP)问题。还提供了两种派生产品进行比较,一种用于仅优化控制器位置,另一种仅用于优化开关控制器分配。我们的仿真涵盖了两种实际的网络拓扑,我们解释了模型对动态流的流建立时间的影响。对于低流量密度,与静态布局相比,适应流量的控制器布局可以将平均流量设置时间减少约50%。但是,当密度很高时,更改控制器位置以确保流设置性能的需求微乎其微。

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