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NCPSO: A Solution of the Controller Placement Problem in Software Defined Networks

机译:NCPSO:软件定义网络中控制器放置问题的解决方案

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Controller placement is an important problem in software defined networks (SDN). Most of the placement strategies focused on propagation latency, but ignored the load of controllers, which is a critical factor in real networks. In this paper, we propose Network Clustering Particle Swarm Optimization Algorithm (NCPSO), which taking into consideration of the load of controllers, propagation latency and load balancing. By generating diverse individuals with high clustering efficiency and overcoming the disadvantages of PSO used in discrete problem, the NCPSO can solve the controller placement problem better than other algorithms. The evaluation shows that the new algorithm can significantly reduce the number of required controllers, reduce the load of the maximum-load controller, and have a good performance of load balance.
机译:控制器放置是软件定义网络(SDN)中的重要问题。大多数放置策略都将重点放在传播延迟上,但忽略了控制器的负载,这是实际网络中的关键因素。在本文中,我们提出了一种网络聚类粒子群优化算法(NCPSO),该算法考虑了控制器的负载,传播延迟和负载平衡。通过生成具有高聚类效率的多样化个体并克服离散问题中使用PSO的缺点,NCPSO可以比其他算法更好地解决控制器放置问题。评估表明,新算法可以显着减少所需控制器的数量,减少最大负载控制器的负载,并具有良好的负载均衡性能。

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