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Optimal Controller Placement Problem in Internet-Oriented Software Defined Network

机译:面向Internet的软件定义网络中的最优控制器布置问题

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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:面向Internet的软件定义网络(SDN)的可行性,可扩展性和性能面临严峻挑战,因此它需要多个控制器来影响SDN性能的各个方面。这些控制器的有效放置算法尤其重要。在本文中,我们提出了多目标优化控制器放置(MOCP)问题,重点在于最大化网络可靠性,最大化控制器负载平衡能力以及最小化控制器与交换机之间的等待时间,然后解决了控制器放置位置的最佳选择,其中节点位于其中每个控制器的控制以及它们在这些控制器之间的路由请求的最佳分配。我们将此问题公式化为数学模型作为优化目标函数。为了解决该模型,根据实际网络状态,根据计算复杂度,开发了自适应细菌觅食优化算法(ABFO)。结果表明,该方案具有很好的潜力,可以有效地解决上述优化目标。

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