Kuijia: Traffic rescaling in data center WANs

Che Zhang, Hong Xu, Libin Liu, Zhixiong Niu, Peng Wang, Yongqiang Tian, Chengchen Hu
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引用次数: 2

Abstract

Network faults like link or switch failures can cause heavy congestion and packet loss. Traffic engineering systems need a lot of time to detect and react to such faults, which results in significant recovery times. Recent work either pre-installs a lot of backup paths in the switches to ensure fast reroute, or proactively pre-reserve bandwidth to achieve fault-resiliency. Our idea agilely reacts to failures in data plane while eliminating pre-installation of backup paths. We propose Kuijia, a robust traffic engineering system for data center WANs which relies on a novel failover mechanism in data plane called rate rescaling. The affected flows on failed tunnels are rescaled to the remaining tunnels, and enter low priority queues to avoid performance impairment of abnormal flows on remaining tunnels. Real system experiments show that Kuijia is effective in handling network faults and significantly outperforms conventional rescaling method.
快家:数据中心广域网的流量缩放
链路或交换机故障等网络故障会导致严重的拥塞和丢包。交通工程系统需要大量的时间来检测和响应此类故障,这导致了大量的恢复时间。最近的工作要么在交换机中预先安装大量备份路径以确保快速重路由,要么主动预先预留带宽以实现故障恢复。我们的想法在消除预先安装备份路径的同时,灵活地对数据平面的故障作出反应。我们提出了一个健壮的数据中心广域网流量工程系统Kuijia,它依赖于一种新的数据平面故障转移机制,称为速率重缩放。故障隧道中受影响的流被重新调整到剩余的隧道中,并进入低优先级队列,以避免剩余隧道中异常流对性能的影响。实际系统实验表明,该方法能有效地处理网络故障,显著优于传统的重尺度方法。
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