DIBS:数据中心的实时拥塞缓解

K. Zarifis, Rui Miao, Matt Calder, Ethan Katz-Bassett, Minlan Yu, J. Padhye
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引用次数: 34

摘要

数据中心必须支持具有不同需求的一系列工作负载。尽管现有的方法可以平稳地处理日常流量,但强烈的热点(即使是短暂的)会导致大量的数据包丢失,并严重降低性能。即使拥塞通常是高度局部化的,在附近的交换机上有空闲的缓冲容量,这种损失也会发生。在本文中,我们认为交换机应该共享缓冲容量,以有效地处理这种点拥塞,而不会在单个交换机上部署大型缓冲区。具体来说,我们提出了绕道诱导缓冲区共享(DIBS),这是一种实现近乎无损网络的机制,而不需要在单个交换机上附加缓冲区。使用DIBS,拥塞交换机将数据包随机绕道到相邻交换机,以避免丢弃数据包。我们在硬件、测试平台中的软件路由器和仿真中实现了DIBS,并证明它将延迟敏感查询完成时间的第99百分位数减少了85%,对其他流量的影响很小。
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DIBS: just-in-time congestion mitigation for data centers
Data centers must support a range of workloads with differing demands. Although existing approaches handle routine traffic smoothly, intense hotspots--even if ephemeral--cause excessive packet loss and severely degrade performance. This loss occurs even though congestion is typically highly localized, with spare buffer capacity at nearby switches. In this paper, we argue that switches should share buffer capacity to effectively handle this spot congestion without the monetary hit of deploying large buffers at individual switches. Specifically, we present detour-induced buffer sharing (DIBS), a mechanism that achieves a near lossless network without requiring additional buffers at individual switches. Using DIBS, a congested switch detours packets randomly to neighboring switches to avoid dropping the packets. We implement DIBS in hardware, on software routers in a testbed, and in simulation, and we demonstrate that it reduces the 99th percentile of delay-sensitive query completion time by up to 85%, with very little impact on other traffic.
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