DocumentCode :
2733152
Title :
An adaptive queue management method for congestion avoidance in TCP/IP networks
Author :
Arpaci, Mutlu ; Copeland, John A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
309
Abstract :
In mid 1980s, congestion control algorithms were implemented in TCP, realizing that the original flow control mechanisms were not capable of protecting IP networks from severe congestion. In recent years, the limitations of endpoint congestion control have been realized. The active queue management method RED and the feedback scheme explicit congestion notification (ECN) have been proposed to complement the TCP congestion control with the goal of preventing congestion instead of curing the network after congestion occurred. We evaluate the performance of the RED/ECN congestion avoidance system, and show that it is not dynamic enough to provide successful congestion avoidance in different traffic conditions. As an alternative to random early setection (RED), we propose an adaptive queue management scheme that can maintain high throughput and low roundtrip delays under dynamic traffic loads
Keywords :
packet switching; queueing theory; telecommunication congestion control; telecommunication network management; transport protocols; IP networks; RED/ECN congestion avoidance system; TCP congestion control; TCP/IP networks; adaptive queue management; congestion avoidance; congestion control algorithms; dynamic traffic loads; endpoint congestion control; explicit congestion notification; feedback; flow control mechanisms; high throughput; low roundtrip delays; packet switching networks; performance evaluation; random early detection; traffic conditions; Communication system traffic control; Curing; Delay; Feedback; IP networks; Protection; TCPIP; Telecommunication traffic; Throughput; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2000. GLOBECOM '00. IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-6451-1
Type :
conf
DOI :
10.1109/GLOCOM.2000.892022
Filename :
892022
Link To Document :
بازگشت