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Integration of streaming services and TCP data transmission in the Internet

机译:流媒体服务与TCp数据传输的集成   互联网

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摘要

We study in this paper the integration of elastic and streaming traffic on asame link in an IP network. We are specifically interested in the computationof the mean bit rate obtained by a data transfer. For this purpose, we considerthat the bit rate offered by streaming traffic is low, of the order ofmagnitude of a small parameter \eps \ll 1 and related to an auxiliarystationary Markovian process (X(t)). Under the assumption that data transfersare exponentially distributed, arrive according to a Poisson process, and sharethe available bandwidth according to the ideal processor sharing discipline, wederive the mean bit rate of a data transfer as a power series expansion in\eps. Since the system can be described by means of an M/M/1 queue with atime-varying server rate, which depends upon the parameter \eps and process(X(t)), the key issue is to compute an expansion of the area swept under theoccupation process of this queue in a busy period. We obtain closed formulasfor the power series expansion in \eps of the mean bit rate, which allow us toverify the validity of the so-called reduced service rate at the first order.The second order term yields more insight into the negative impact of thevariability of streaming flows.
机译:我们在本文中研究了IP网络中相同链接上的弹性和流式传输的集成。我们对通过数据传输获得的平均比特率的计算特别感兴趣。为此,我们认为流业务量提供的比特率较低,约为小参数\ eps \ ll 1的数量级,并且与辅助平稳马尔可夫过程(X(t))有关。在数据传输呈指数分布,根据泊松过程到达并根据理想处理器共享原则共享可用带宽的假设下,将数据传输的平均比特率推导为幂级数展开。由于可以通过具有随时间变化的服务器速率的M / M / 1队列来描述系统,该速率取决于参数\ eps和process(X(t)),因此关键问题是计算区域的扩展在繁忙时段被此队列的占用过程淹没了。对于平均比特率\ eps的幂级数展开,我们获得了封闭的公式,这使我们能够验证一阶所谓的降低的服务速率的有效性。二阶项使您可以更深入地了解可变性的负面影响流媒体流。

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