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The effect of packet reordering in a backbone link on application throughput

机译:骨干链路中的数据包重新排序对应用程序吞吐量的影响

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摘要

Packet reordering in the Internet is a well-known phenomenon. As the delay and speed of backbone links continue to increase, what used to be a negligible amount of packet reordering may now, combined with some level of dropped packets, cause multiple invocations of fast recovery within a TCP window. This may result in a significant drop in link utilization and hence in application throughput. What adds to the difficulty is that packet reordering is a silent problem. It may result in significant application throughput degradation while leaving little to no trace. In this article we try to measure and quantify the effect of reordering packets in a backbone link that multiplexes multiple TCP flows on application throughput. Different operating systems and delay values as well as various types of flow mixes were tested in a laboratory setup. The results show that only a small percentage of reordered packets, by at least three packet locations, in a backbone link can cause significant degradation of application throughput. Long flows are affected most. Due to the potential impact of this phenomenon, minimization of packet reordering as well as mitigating the effect algorithmically should be considered.
机译:Internet中的数据包重新排序是一种众所周知的现象。随着骨干链路的延迟和速度继续增加,过去可以忽略不计的数据包重新排序现在可能与某种程度的丢失的数据包结合在一起,导致在TCP窗口内多次调用快速恢复。这可能会导致链路利用率以及应用程序吞吐量的显着下降。困难在于,数据包重新排序是一个无声的问题。它可能会导致应用程序吞吐量显着下降,而几乎没有甚至没有踪迹。在本文中,我们尝试测量和量化在多路复用多个TCP流对应用程序吞吐量的主干链路中对数据包重新排序的影响。在实验室设置中测试了不同的操作系统和延迟值以及各种类型的混合流。结果表明,骨干链路中至少三个分组位置中只有很小比例的重新排序数据包会导致应用程序吞吐量显着降低。长流影响最大。由于此现象的潜在影响,应考虑最小化数据包的重新排序以及从算法上减轻影响。

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