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Optimal Controller Placement Problem in Internet-Oriented Software Defined Network

机译:面向互联网的软件定义网络中的最佳控制器放置问题

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The feasibility, scalability and performance of Internet-oriented Software Defined Network (SDN) are confronted with severe challenge, so it needs multiple controllers that influence every aspect of SDN performance. An effective placement algorithm of these controllers is especially important. In this paper, we formulate the Multiobjective Optimization Controller Placement (MOCP) problem and focus on maximizing network reliability, maximizing controller load balance ability and minimizing latency between controllers and switches and then solve the optimal selection of controller placement locations, within which nodes are under control of each controller and the optimal distribution of their routing requests among these controllers. We formulate this problem into a mathematical model as the optimization objective function. In order to resolve this model, Adaptive Bacterial Foraging Optimization (ABFO) algorithm is developed on account of the computation complexity according to actual network state. The results show this proposed scheme The results show this proposed scheme has great potential to deal with above optimization objectives efficiently and effectively.
机译:定义网络(SDN)互联网为导向的软件的可行性,可扩展性和性能都面临着严峻的挑战,因此需要影响的SDN性能各个方面的多个控制器。这些控制器的有效布局算法显得尤为重要。在本文中,我们制定最大化网络的可靠性,最大化控制器负载平衡能力和控制器和交换机之间等待时间最小化,然后解决的控制器放置位置的最佳选择,在其中节点是下的多目标优化控制器放置(MOCP)的问题和焦点控制每个控制器和这些控制器之间的路由选择请求的最佳分布。我们提出这个问题变成数学模型为优化目标函数。为了解决这个模型,自适应细菌觅食优化(ABFO)算法根据实际的网络状态是考虑到计算复杂的开发。实验结果表明,该提出的方案的结果表明,该方案具有很大的潜力,以应对有效和高效地上面的优化目标。

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