DocumentCode :
2460757
Title :
The Research of an Improved Algorithm for Active Queue Management with BP
Author :
Yang, Wenchuan ; Zhou, Zhengming ; Duan, Xiaoyan
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
4-6 June 2012
Firstpage :
200
Lastpage :
203
Abstract :
Active Queue Management (AQM) acts as an enhanced mechanism for end-to-end congestion controlling. It can improve the queue length and usability of data links by the method of drop the packets among nodes in the network. In this paper, we describe the background and design indicator for the AQM. We will discuss the current research status for AQM. Then we will focus on some classical AQM algorithm for AQM, such as RED, ARED, BLUE and RLGD. Finally, we will present a new AQM algorithm framework based on modern artificial intelligent knowledge.
Keywords :
artificial intelligence; backpropagation; queueing theory; telecommunication computing; telecommunication congestion control; AQM; ARED; BLUE; BP; RLGD; active queue management; artificial intelligent knowledge; backpropagation; data link usability; end-to-end congestion control; queue length; Algorithm design and analysis; Biological neural networks; Classification algorithms; Educational institutions; Internet; Mathematical model; Training; ARED; Active Queue Management; BLUE; RED; RLED; congestion controlling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
Type :
conf
DOI :
10.1109/IS3C.2012.59
Filename :
6228282
Link To Document :
بازگشت