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Horizontal Partition for Scalable Control in Software-Defined Data Center Networks

机译:软件定义的数据中心网络中用于可扩展控制的水平分区

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Distributed control plane architecture has been employed in software-defined data center networks to improve the scalability of control plane. However, since the flow space is partitioned by assigning switches to different controllers, the network topology is also partitioned and the rule setup process has to invoke multiple controllers. Besides, the control load balancing based on switch migration is heavyweight. In this paper, we propose a lightweight load partition method which decouples the flow space from the network topology. The flow space is partitioned with hosts rather than switches as carriers, which supports fine-grained and lightweight load balancing. Moreover, the switches are no longer needed to be assigned to different controllers and we keep all of them controlled by each controller, thus each flow request can be processed by exactly one controller in a centralized style. Evaluations show that our scheme reduces rule setup costs and achieves lightweight load balancing.
机译:分布式控制平面体系结构已用于软件定义的数据中心网络中,以提高控制平面的可伸缩性。但是,由于通过将开关分配给不同的控制器来划分流空间,因此也将网络拓扑划分,并且规则设置过程必须调用多个控制器。此外,基于交换机迁移的控制负载均衡是重量级的。在本文中,我们提出了一种轻量级的负载分配方法,该方法将流空间与网络拓扑解耦。流空间由主机(而不是交换机)作为载体进行分区,从而支持细粒度和轻量级的负载平衡。而且,不再需要将开关分配给不同的控制器,并且我们将所有开关保持在每个控制器的控制之下,因此每个流量请求都可以由一个控制器以集中式处理。评估表明,我们的方案降低了规则设置成本,并实现了轻量级的负载平衡。

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