高带宽网络中基于置信区间的统计传输控制

Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing Pub Date : 2017-03-22 DOI:10.1145/3018896.3018922

Won-Jeong Choi, Ramneek Seckhon, Woojin Seok

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引用次数: 0

摘要

TCP根据拥塞窗口的指数增长进行慢启动阶段，以预测当前网络。当前TCP慢启动在大带宽网络下不能很好地工作。当网络中业务量较大时，慢启动阶段的指数级增长会导致突发丢包。本文采用统计慢启动的方法来解决网络中流之间的碰撞造成的大量丢包问题，提高TCP的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Statistical transmission control based on confidence interval in high bandwidth network

TCP performs slow start phase based on an exponential increase of the congestion window to predict the current network. Current TCP slow start does not work well under large bandwidth networks. The exponential growth of slow start phase cause burst packet loss if there are many traffic in the network. In this paper, we use a statistical slow start method to solve heavy packet loss from collision between flows in the network and to improve TCP performance.

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Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing

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