Performance measure of Drop tail and RED algorithm

Sanjeev Patel, Pankaj Gupta, G. Singh
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引用次数: 27

Abstract

This Transmission control protocol (TCP) detects congestion only after a packet has been dropped and it would be undesirable to have large queue because it would significantly increase the average delay in the network. In the current high speed networks, it is increasingly important to have mechanisms that keep throughput high but average queue sizes low. This paper presents comparison between two queuing management system Random Early Detection (RED) and Drop tail for avoiding the congestion in high speed packet switched networks. In this paper we are trying to detect superfluous congestion by averaging the queue size. If average queue size exceeds with respect to required threshold value, router drops the packet with some drop probability determined by some probabilistic distribution, it can be further modified to give a better result. Drop probability of the packet is calculated by knowing the packet loss and this packet loss is minimized by modifying the congestion window size. In this paper we consider the own networks and we show the results of different protocols for particular network topology.
Drop tail和RED算法的性能度量
这种传输控制协议(TCP)仅在数据包被丢弃后才检测拥塞,并且不希望有大队列,因为它会显着增加网络中的平均延迟。在当前的高速网络中,拥有保持高吞吐量但平均队列大小较低的机制变得越来越重要。针对高速分组交换网络中的拥塞问题,比较了随机早期检测(Random Early Detection, RED)和丢尾(Drop tail)两种排队管理系统。在本文中,我们试图通过平均队列大小来检测多余的拥塞。如果平均队列大小超过所要求的阈值,则路由器以某种概率分布确定的丢弃概率丢弃数据包,可以进一步修改以获得更好的结果。通过了解丢包量计算丢包概率,通过修改拥塞窗口大小使丢包量最小化。在本文中,我们考虑自己的网络,我们展示了不同的协议的结果,为特定的网络拓扑结构。
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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