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On the effect of flow table size and controller capacity on SDN network throughput

机译:流表大小和控制器容量对SDN网络吞吐量的影响

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Software Defined Network (SDN) is an architectural trend in networking towards the use of the centralized controller to get better performance. However, due to limited resources (especially limited flow table size and controller processing capacity), it may result in low-throughput and long-delay for a set of bursty flows. In this paper, we first combine the flow table size constraint and the controller processing capacity constraint to define the Throughput Maximization with Limited Resources (TMLR) problem. Then we prove TMLR is NP-Hard and design an approximation algorithm to solve the TMLR problem. The approximation factor of the proposed algorithm is also analyzed. The simulation results on the SDN platform (Mininet [1]) show that our algorithm can improve the network throughput about 39% on average compared with the existing algorithms.
机译:软件定义网络(SDN)是网络上的一种架构趋势,倾向于使用集中式控制器以获得更好的性能。但是,由于资源有限(特别是流表大小和控制器处理能力有限),对于一组突发流而言,它可能导致低吞吐量和长时间延迟。在本文中,我们首先结合流表大小约束和控制器处理能力约束来定义具有有限资源的吞吐量最大化(TMLR)问题。然后证明TMLR是NP-Hard,并设计了一种近似算法来解决TMLR问题。还分析了所提出算法的近似因子。在SDN平台(Mininet [1])上的仿真结果表明,与现有算法相比,我们的算法平均可提高网络吞吐率约39%。

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