基于指数模型的Twitter TCP拥塞窗口分析

H. Nuha, Sidik Prabowo
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引用次数: 4

摘要

本文利用指数分布的twitter流量模型对TCP拥塞窗口进行了分析。TCP是一种流行的可靠协议,被许多互联网服务所使用。随着社交媒体的出现并引入新的流量特征,评估TCP在最新社交媒体环境下的性能是一件有趣的事情。作为顶级社交媒体,推特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,并进行了TCP拥塞窗口评估实验。拥塞窗口表示TCP适应网络条件的效率,因为度量显示了单次传输中传输的数据数量。在稳定的情况下,共享带宽带来了更高的拥塞窗口,使得传输效率更高。高流量和高带宽组合的拥塞窗口方差较小,为0.58,而低流量组合的拥塞窗口方差较大,为1.15。
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TCP Congestion Window Analysis of Twitter with Exponential Model
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.
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