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TCP Congestion Window Analysis of Twitter with Exponential Model

机译:基于指数模型的Twitter TCP拥塞窗口分析

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In this work, an analysis of Transmission Control Protocol (TCP) Congestion Window with traffic model of twitter using exponential distribution is presented. TCP is a popular reliable protocol used by many internet service. As social medias emerge and introduce new characteristic of traffic, it is interesting to evaluate the performance of TCP in the latest social media environment scenario. Twitter as top social media shows its influence by taking part of many political event in the globe. An exponential distribution traffic model of Twitter traffic is proposed and an experiment on evaluation of TCP congestion window is presented in this paper. A congestion window represents efficiency of TCP to adapt network condition since the metric shows the number of data transmitted in a single transmission. In stable condition, shared bandwidth carry out higher congestion window which makes transmission more efficient. Combination of high traffic flow and high bandwidth comes with lower congestion window variation with 0.58 where low traffic flow obtains higher variance with 1.15.
机译:在这项工作中,提出了使用指数分布的twitter流量模型的传输控制协议(TCP)拥塞窗口的分析。 TCP是许多Internet服务使用的流行的可靠协议。随着社交媒体的出现并引入流量的新特性,在最新的社交媒体环境中评估TCP的性能非常有趣。作为顶级社交媒体,Twitter通过参与全球许多政治事件来展示其影响力。提出了Twitter流量的指数分布流量模型,并提出了TCP拥塞窗口评估的实验。拥塞窗口表示TCP适应网络状况的效率,因为该度量标准显示了单次传输中传输的数据数量。在稳定条件下,共享带宽会执行更高的拥塞窗口,从而使传输效率更高。高流量和高带宽的结合带来了较低的拥塞窗口变化(0.58),其中低流量获得了较高的方差(1.15)。

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