Overcoming the memory limits of network devices in SDN-enabled data centers

Antonio Marsico, R. D. Corin, D. Siracusa
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引用次数: 5

Abstract

In extremely connected and dynamic environments, such as data centers, SDN network devices can be exploited to simplify the management of network provisioning. However, they leverage on TCAMs to implement the flow tables, i.e., on size-limited memories that can be quickly filled up when fine-grained traffic control is required, eventually preventing the installation of new forwarding rules. In this work, we demonstrate how this issue can be mitigated by means of a novel flow rule swapping mechanism. Specifically, we first show the negative effects of a full TCAM on a video streaming service provided by an SDN-enabled data center. Then, we show that our swapping mechanism helps in overcoming the inability to properly access a media content available in the data center, by temporarily moving the least matched flow rules from the TCAM to a larger memory outside the SDN device.
克服支持sdn的数据中心中网络设备的内存限制
在高度连接和动态的环境中,例如数据中心,可以利用SDN网络设备简化网络供应的管理。然而,它们利用tcam来实现流表,也就是说,当需要细粒度的流量控制时,在大小有限的内存上可以迅速填满,最终防止安装新的转发规则。在这项工作中,我们演示了如何通过一种新的流规则交换机制来缓解这个问题。具体来说,我们首先展示了完整的TCAM对支持sdn的数据中心提供的视频流服务的负面影响。然后,我们展示了我们的交换机制有助于克服无法正确访问数据中心中可用的媒体内容的问题,通过临时将最不匹配的流规则从TCAM移到SDN设备外的更大内存中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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