使用可编程数据平面交换机使能TCP步调

Elie F. Kfoury, J. Crichigno, E. Bou-Harb, David J. Khoury, Gautam Srivastava
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引用次数: 20

摘要

以前的研究已经观察到TCP均匀间隔数据包——最小化流量突发,减少数据包丢失,并提高吞吐量。然而,踱步的主要缺点是必须提前知道流量的数量和瓶颈链路的容量。有了这些信息,可以通过手动调优发送方节点,使其以聚合到瓶颈容量的速率发送来实现速度调整。本文提出了一种基于可编程开关的速率动态调节方案。这些交换机将网络的状态存储在数据平面中,并在网络状态发生变化时通知发送方节点更新其步调速率,例如,一个新的流加入或离开网络。该方案使用封装在IP选项报头字段内的自定义协议,因此与传统交换机兼容(即,该方案不要求所有交换机都是可编程的)。此外,可编程交换机的处理开销最小,因为自定义数据包仅在流加入或离开网络时生成。在Mininet中进行的仿真结果表明,该方案能够以最小的延迟动态通知主机以适应步调速率,从而提高吞吐量,减轻TCP锯齿行为,并在并发流之间实现更好的公平性。所提出的方案和初步结果对Science DMZ等应用程序特别有吸引力,在这些应用程序中,通常少量的大型流必须共享带宽容量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling TCP Pacing using Programmable Data Plane Switches
Previous studies have observed that TCP pacing evenly spacing out packets-minimizes traffic burstiness, reduces packet losses, and increases throughput. However, the main drawback of pacing is that the number of flows and the bottleneck link capacity must be known in advance. With this information, pacing is achieved by manually tuning sender nodes to send at rates that aggregate to the bottleneck capacity. This paper proposes a scheme based on programmable switches by which rates are dynamically adjusted. These switches store the network’s state in the data plane and notify sender nodes to update their pacing rates when the network’s state changes, e.g., a new flow joins or leaves the network. The scheme uses a custom protocol that is encapsulated inside the IP Options header field and thus is compatible with legacy switches (i.e., the scheme does not require all switches to be programmable). Furthermore, the processing overhead at programmable switches is minimal, as custom packets are only generated when a flow joins or leaves the network. Simulation results conducted in Mininet demonstrate that the proposed scheme is capable of dynamically notifying hosts to adapt the pacing rate with a minimum delay, increasing throughput, mitigating the TCP sawtooth behavior, and achieving better fairness among concurrent flows. The proposed scheme and preliminary results are particularly attractive to applications such as Science DMZ, where typically a small number of large flows must share the bandwidth capacity.
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