Time slot-based RED algorithm on self-similar flows:SFRED

WANG Hui; JI Zhen-zhou; SUN Yan-dong; WANG Yuan-zheng

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Time slot-based RED algorithm on self-similar flows:SFRED

更新时间：2024-10-14

- Time slot-based RED algorithm on self-similar flows:SFRED
- Vol. 31, Issue 10, Pages: 115-120(2010)
- 作者机构：
  
  哈尔滨工业大学计算机科学与技术学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.06
- Published：2010
- 稿件说明：
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WANG Hui, JI Zhen-zhou, SUN Yan-dong, et al. Time slot-based RED algorithm on self-similar flows:SFRED[J]. 2010, 31(10): 115-120.
DOI：

WANG Hui, JI Zhen-zhou, SUN Yan-dong, et al. Time slot-based RED algorithm on self-similar flows:SFRED[J]. 2010, 31(10): 115-120. DOI：

摘要

分析研究了网络流量的自相似和长相关性

并基于分形布朗运动模型导出了自相似流量环境RED算法分组丢失概率的一种计算方法

从而提出了基于时间槽的自相似流量随机早检测队列管理算法SFRED。该算法在每个时间槽内计算一次分组丢失概率

大大降低系统负担。NS2仿真实验表明SFRED算法性能明显优于RED

能够很好地在自适应流背景下控制队列长度

并具有良好的吞吐量性能。

Abstract

Based on fractional Brownian motion（FBM）

one calculation of the packet drop probability in the RED algorithm was derived under self-similar flows.Based on the self-similarity and the long-range dependence characteristics of Internet network traffics

a time slot-based RED algorithm on self-similar flows（SFRED） was proposed to the router queue management.The packet drop probability is calculated in every time-slot so that the burden is greatly reduced.It is simulated by NS2 and the experimental results show that the algorithm SFRED outperforms RED.SFRED can control the queue length under adaptive flows with a good throughput.

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