High-performing scale-out solution for deep packet processing via adaptive load-balancing

L. Battestilli, T. Nelms, S. Hunter, G. R. Shippy
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Abstract

We propose a scale-out solution for deep packet processing (DPP) appliances, which uses a standard Ethernet switch in combination with a load balancing controller. The majority of the data-plane traffic is distributed via the switch's built-in traffic distribution function and no connection state is kept. If the load balancing controller detects a skew in the load of the DPP appliances, it updates the traffic rules in the switch to redirect new connections to less busy DPP appliances. This adaptive solution is beneficial for load-balancing at high data rates because state is kept for only the redirected connections. For typical traffic patterns, our solution reduces the packet drops with minimal connection redirection. We show an example capture, where we are able to improve the packet drop rate by 94.8% with only 3% of the connections being redirected.
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通过自适应负载平衡实现深度数据包处理的高性能横向扩展解决方案
我们提出了一种深度分组处理(DPP)设备的横向扩展解决方案,该解决方案使用标准以太网交换机与负载平衡控制器相结合。数据平面的流量大部分通过交换机自带的流量分配功能进行分配,不保留连接状态。如果负载平衡控制器检测到DPP设备的负载出现倾斜,它就会更新交换机中的流量规则,将新连接重定向到不那么繁忙的DPP设备。这种自适应解决方案有利于高数据速率下的负载平衡,因为只保留重定向连接的状态。对于典型的流量模式,我们的解决方案以最小的连接重定向减少了数据包丢失。我们展示了一个示例捕获,其中我们能够将数据包丢弃率提高94.8%,而只有3%的连接被重定向。
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