Predictive PI Active Queue Management Based on Grey System

Author

Zheng, Chang-yong ; Dai, Yue-Hua ; Chen, Jun-ning

Author_Institution

Eng. Technol. Res. Center of Energy-saving Building Anhui Province, Anhui Univ. of Archit., Hefei

Volume

2

fYear

2009

fDate

7-8 March 2009

Firstpage

542

Lastpage

545

Abstract

This paper proposed a novel predictive PI algorithm based on connotative type grey model. The predicted instantaneous queue errors, while not the sample values, are utilized to determine to 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.

Keywords

Internet; computer network management; grey systems; queueing theory; telecommunication congestion control; telecommunication network routing; Internet congestion control; connotative type grey model; grey system; packet drop rate; predictive PI active queue management; router; Control systems; Delay; Educational technology; Electronic mail; Mathematical model; Mathematics; Paper technology; Predictive control; Predictive models; Technology management; PI; active management; congestion control; grey model; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-3581-4

Type

conf

DOI

10.1109/ETCS.2009.382

Filename

4959097