Grey PI active queue management congestion control scheme

doi:10.3778/j.issn.1002-8331.2010.04.024

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (4): 76-78.DOI: 10.3778/j.issn.1002-8331.2010.04.024

• 网络、通信、安全 • Previous Articles Next Articles

Grey PI active queue management congestion control scheme

ZHENG Chang-yong^1，2，DAI Yue-hua¹，CHEN Jun-ning¹，XU Tai-long¹

1.School of Electronic Science & Technology，Anhui University，Hefei 230039，China
2.School of Electronic & Information Engineering，Anhui University of Architecture，Hefei 230601，China

Received:2009-02-12 Revised:2009-03-30 Online:2010-02-01 Published:2010-02-01
Contact: ZHENG Chang-yong

灰色预测PI主动队列管理拥塞控制策略

郑长勇^1，2，代月花¹，陈军宁¹，徐太龙¹

1.安徽大学电子科学与技术学院，合肥 230039
2.安徽建筑工业学院电子与信息工程学院，合肥 230601

通讯作者: 郑长勇

Abstract

Abstract: This paper proposes a novel predictive PI algorithm based on connotative type grey model.The predicted queue errors，while not the sample values，are utilized to determine the packet drop rate in the router.This method aims to achieve the satisfactory trade-off between fast responsiveness and low overshoot.Simulation results demonstrate the effectiveness of the grey predictive PI active queue management scheme.

摘要： 提出了一种新颖的基于隐含类型的GM模型的预测PI算法。利用预测队列误差而非瞬时采样值来决定路由器的丢包率。该方法致力于在响应速度与增益两者之间取得一个最佳的折中。仿真结果验证了该灰色预测PI主动队列管理策略的有效性。

CLC Number:

TP393

ZHENG Chang-yong^1，2，DAI Yue-hua¹，CHEN Jun-ning¹，XU Tai-long¹. Grey PI active queue management congestion control scheme[J]. Computer Engineering and Applications, 2010, 46(4): 76-78.

郑长勇^1，2，代月花¹，陈军宁¹，徐太龙¹. 灰色预测PI主动队列管理拥塞控制策略[J]. 计算机工程与应用, 2010, 46(4): 76-78.

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Grey PI active queue management congestion control scheme

灰色预测PI主动队列管理拥塞控制策略

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