Title :
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
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;
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
DOI :
10.1109/ETCS.2009.382
