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Visualization of elephant flows and QoS provisioning in SDN-based networks

机译:基于SDN的网络中大象流的可视化和QoS设置

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Elephant flows in data center networks have a tendency to utilize a lot of bandwidth, leaving latency-sensitive mice flows choked behind them. This causes degradation of application performance running on the network. Therefore, a data center network should be able to not only identify elephant flows, but also offer Quality of Service (QoS) provisioning. SDN makes network operating systems to achieve greater governance of the control plane within a given network. In order to detect elephant flows, we use a framework based on sFlow sampling technology. We show an approach to guarantee QoS that is administered and defined by a centralized network controller by using SDN and specifications offered by OpenFlow. Although there have been efforts in this area over the past but in the scope of this paper, we will only focus on how Traffic Shaping (rate limiting) based classification technique can be used within an SDN network.
机译:数据中心网络中的大象流倾向于利用大量带宽,从而使对时延敏感的鼠标流滞后于它们。这会导致网络上运行的应用程序性能下降。因此,数据中心网络不仅应该能够识别流,而且还可以提供服务质量(QoS)设置。 SDN使网络操作系统可以在给定网络内实现对控制平面的更大控制。为了检测大象流,我们使用基于sFlow采样技术的框架。我们展示了一种使用SDN和OpenFlow提供的规范来保证由集中式网络控制器管理和定义的QoS的方法。尽管过去已经在这方面做出了努力,但在本文的范围内,我们将仅关注如何在SDN网络中使用基于流量整形(速率限制)的分类技术。

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