Tag-In-Tag: SDN交换机中高效的流表管理

Subhasish Banerjee, Kalapriya Kannan
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引用次数: 56

摘要

具有0(1)查找性能的三元内容可寻址存储器(TCAM)已成为高性能交换硬件的明显和不可替代的选择。然而,新兴的网络范例,特别是软件定义网络(SDN),已经改变了这个内存子系统的操作性质和访问速率。这些条件预计会对TCAM功耗产生不利影响,增加硅面积,因此可能会降低预期性能。在本文中,我们提出了Tag-In-Tag一种利用SDN特征并用两层更简单和更短的标签取代流条目的方法。标记的一个级别利用了从入口交换机到出口交换机的单个流的唯一路径的可用性,该路径可以先验地计算。第二级标记允许对流进行更精细的标识,以启用特定于流的操作。双重标签有助于保留sdn的优点,同时为流表中的流项提供最高级别的压缩。通过使用真实世界和合成数据的各种实验,我们表明,我们的方法可以在固定大小的TCAM中容纳15倍的流条目,而与未优化的SDN启用交换机相比,每流功耗降低了80%。
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Tag-In-Tag: Efficient flow table management in SDN switches
Ternary Content Addressable Memory (TCAM) with O(1) look up performance has become the obvious and irreplaceable choice of high performance switching hardware. However, emerging network paradigm, especially Software Defined Networking (SDN), has changed the nature of operations and the rate of access in this memory subsystem. These conditions are expected to adversely impact TCAM power consumption, increase the silicon area and hence are likely to bring down the expected performance. In this paper we propose Tag-In-Tag an approach that exploits SDN features and replaces the flow entries with two layers of simpler and shorter tags. One level of tagging exploits the availability of unique path for individual flows from the ingress switch to egress switch that can be computed a-priori. Second level of tagging allows finer identification of the flows to enable flow specific actions. Double tagging helps in preserving the finer benefits of the SDNs while providing highest level of compaction to the flow entries in the flow tables. Through various experiments using real world and synthetic data we show that our approach can accommodate 15 times more flow entries in a fixed size TCAM whereas power consumption per-flow is reduced by 80% compared to an unoptimized SDN enabled switch.
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