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A stochastic model for the throughput of non-persistent TCP flows

机译:非持久性TCP流吞吐量的随机模型

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The general aim of this paper is to analyze the throughput of a HTTP flow. For this, we introduce a simplified model of such a flow which consists of a succession of idle and download periods. The file downloads are subject to a fixed packet loss probability. The same TCP connection is possibly used for the download of a random number of files, for which the effect of the slow start is taken into account. For this stochastic model, we derive a closed form formula for the stationary throughput obtained by a flow. We also derive closed form expressions for the mean time to transfer a file and for the distribution of the throughput. Several laws of file sizes and idle times are considered including heavy tailed distributions. We also briefly discuss how the formulas can be applied to predict bandwidth sharing among competing HTTP flows.
机译:本文的一般目标是分析HTTP流程的吞吐量。为此,我们介绍了这种流程的简化模型,该模型包括一系列空闲和下载时段。文件下载受固定的数据包丢失概率。相同的TCP连接可能用于下载随机数的文件,其中考虑了慢速开始的效果。对于这种随机模型,我们推导出封闭的形式公式,以便通过流量获得的固定吞吐量。我们还导出封闭的表单表达式,以便平均传输文件和吞吐量的分发。若干文件规则和空闲时间被认为包括大尾分布。我们还简要讨论了如何应用公式以预测竞争HTTP流之间的带宽共享。

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