TCP是如何产生伪自相似性的?

Liang Guo, M. Crovella, I. Matta
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引用次数: 47

摘要

在最近的许多互联网流量测量中都观察到远程依赖性。此外,最近的一些研究表明,在某些网络条件下,TCP本身可以产生在有限时间尺度上表现出依赖性的流量,即使在没有更高级别可变性的情况下也是如此。在本文中,我们使用一个简单的马尔可夫模型来证明,当损失率相对较高时,TCP的自适应拥塞控制机制确实产生了在几个时间尺度上具有幂律形状的关闭周期的流量,从而在总体流量中引入了伪远程依赖。此外,我们观察到,不同数据包的初始重传超时值变化越大,会引入更多的数据包间到达时间变化,从而增加整体流量的突发性。因此,我们可以解释为什么单个TCP连接可以产生一个时间序列,可以使用标准测试错误地识别为自相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How does TCP generate pseudo-self-similarity?
Long-range dependence has been observed in many recent Internet traffic measurements. In addition, some recent studies have shown that under certain network conditions, TCP itself can produce traffic that exhibits dependence over limited timescales, even in the absence of higher-level variability. In this paper, we use a simple Markovian model to argue that when the loss rate is relatively high, TCP's adaptive congestion control mechanism indeed generates traffic with OFF periods exhibiting power-law shape over several timescales and thus introduces pseudo-long-range dependence into the overall traffic. Moreover, we observe that more variable initial retransmission timeout values for different packets introduces more variable packet inter-arrival times, which increases the burstiness of the overall traffic. We can thus explain why a single TCP connection can produce a time-series that can be misidentified as self-similar using standard tests.
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