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Towards adaptive elastic distributed Software Defined Networking

机译:迈向自适应弹性分布式软件定义网络

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Distributed Software Defined Networking federates multiple controllers In a network to solve the problems In single controller networks, e.g., to improve network reliability and reduce the delay between controllers and switches. However, in the current distributed SDN schemes, the mapping between SDN switches and controllers is statically configured, which may result in uneven load distribution among controllers. These schemes cannot fully benefit from the distributed SDN architecture. In order to address this issue, this paper proposes an adaptive elastic distributed SDN architecture. The architecture dynamically selects a minimum. number of active controllers that switches attached to, and changes the mapping between switches and controllers according to the network load. Specially, a switch can migrate from one controller domain to another so that the mapping is adaptive to the network load. We formalize the controller selection problem as an optimization problem, and prove that the problem is NP-Hard. We solve the problem by using greedy algorithms. With the algorithms, controllers In a network are dynamically changed with respect to the network load and the number of active controll0ers is close to the optimal value. We validate the algorithms and evaluate the performance by simulations. In particular, the simulation results show that the number of active controllers is reduced by 60% when the whole network load decreases.
机译:分布式软件定义网络将网络中的多个控制器联合起来,以解决单控制器网络中的问题,例如,以提高网络可靠性并减少控制器和交换机之间的延迟。但是,在当前的分布式SDN方案中,SDN交换机和控制器之间的映射是静态配置的,这可能会导致控制器之间的负载分配不均。这些方案不能完全受益于分布式SDN架构。为了解决这个问题,本文提出了一种自适应弹性分布式SDN架构。该体系结构动态选择最小值。交换机所连接的活动控制器的数量,并根据网络负载更改交换机和控制器之间的映射。特别是,交换机可以从一个控制器域迁移到另一个控制器域,从而使映射适应网络负载。我们将控制器选择问题形式化为一个优化问题,并证明该问题是NP-Hard。我们使用贪婪算法解决了这个问题。利用该算法,网络中的控制器相对于网络负载动态变化,并且活动控制器的数量接近最佳值。我们验证算法并通过仿真评估性能。特别是,仿真结果表明,当整个网络负载降低时,活动控制器的数量减少了60%。

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