Network congestion avoidance through Speculative Reservation

Nan Jiang, Daniel U. Becker, George Michelogiannakis, W. Dally
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引用次数: 58

Abstract

Congestion caused by hot-spot traffic can significantly degrade the performance of a computer network. In this study, we present the Speculative Reservation Protocol (SRP), a new network congestion control mechanism that relieves the effect of hot-spot traffic in high bandwidth, low latency, lossless computer networks. Compared to existing congestion control approaches like Explicit Congestion Notification (ECN), which react to network congestion through packet marking and rate throttling, SRP takes a proactive approach of congestion avoidance. Using a light-weight endpoint reservation scheme and speculative packet transmission, SRP avoids hot-spot congestion while incurring minimal overhead. Our simulation results show that SRP responds more rapidly to the onset of severe hot-spots than ECN and has a higher network throughput on bursty network traffic. SRP also performs comparably to networks without congestion control on benign traffic patterns by reducing the latency and throughput overhead commonly associated with reservation protocols.
通过推测预约避免网络拥塞
热点流量引起的拥塞会严重降低计算机网络的性能。在本研究中,我们提出了推测预留协议(Speculative Reservation Protocol, SRP),这是一种新的网络拥塞控制机制,可以缓解高带宽、低延迟、无损计算机网络中热点流量的影响。现有的拥塞控制方法,如显式拥塞通知(ECN),通过数据包标记和速率限制来应对网络拥塞,与之相比,SRP采用了一种主动的拥塞避免方法。使用轻量级端点保留方案和推测包传输,SRP避免了热点拥塞,同时产生最小的开销。仿真结果表明,SRP对严重热点的响应速度比ECN更快,并且在突发网络流量下具有更高的网络吞吐量。通过减少通常与保留协议相关的延迟和吞吐量开销,SRP在良性流量模式上的表现也与没有拥塞控制的网络相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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