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Robust Controller Placement Based on Load Balancing in Software Defined Networks

机译:软件定义网络中基于负载平衡的鲁棒控制器布置

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To further improve Software Defined networks performance, robustness and load balancing, it is valuable to determine how to optimally deploy controllers against links failure. In this paper, we model the robust controller placement (RCP) optimization problem with an integer linear programming, termed RCP_ILP, which optimally places the least controllers to meet the robustness and load balancing. The novelty of our model is taking into controller coverage probability, network transmission efficiency and Gini coefficient of controller loading at the cost of least controllers. To reduce the computational complexity for the optimal configuration, we propose a heuristic RCP algorithm. The extensive simulations conducted with real network topologies show that the heuristic RCP algorithm improves the robustness and load balancing of SDNs against links failure.
机译:为了进一步改善软件定义的网络性能,健壮性和负载平衡,确定如何最佳地部署控制器以防止链路故障非常重要。在本文中,我们使用称为RCP_ILP的整数线性规划模型对鲁棒控制器布局(RCP)优化问题进行建模,该规划最优地放置了最少的控制器以满足鲁棒性和负载平衡。我们模型的新颖性是以最少的控制器为代价,考虑了控制器的覆盖概率,网络传输效率和控制器负载的基尼系数。为了降低最佳配置的计算复杂度,我们提出了一种启发式RCP算法。使用实际网络拓扑进行的广泛仿真显示,启发式RCP算法提高了SDN的健壮性和负载平衡,以防止链路故障。

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