DocumentCode
3240939
Title
The study of ECN application effect at the performance improvement of RED
Author
Gharegozi, Alireza
Author_Institution
Fac. Member of Comput. Group, Islamic Azad Univ., Shahindezh, Iran
fYear
2010
fDate
2-4 Nov. 2010
Firstpage
632
Lastpage
636
Abstract
Random Early Detection (RED) algorithm, a framework of active queue management (AQM), has been proposed in order to improve the performance of congestion routers due to the increased use of Internet. But, the basic problem of a lag between congestion´s occurrence and its remedy remained. To overcome this problem of RED, Explicit Congestion Notification (ECN) proposed by the IETF that allows end-to-end notification of network congestion without dropping packets. This paper evaluates performance enhancement of RED with ECN Support using Standard RED as the evaluation baseline with respect to theirs abilities of improving performance of congested routers by keeping packet drop rate low. The performance is evaluated for FTP-like bulk-data TCP flows and UDP based traffic such as Constant Bit Rate (CBR) based on average throughput results of TCP sources by using NS2 Simulator. The simulation results show that use of ECN in light congested networks has not more benefits.
Keywords
Internet; computer network management; computer network performance evaluation; queueing theory; telecommunication congestion control; transport protocols; ECN; FTP; Internet; NS2 simulator; RED; TCP; UDP; active queue management; congestion router; constant bit rate; explicit congestion notification; network congestion; random early detection algorithm; Delay; IP networks; Lead; Logic gates; Servers; Switches; Throughput; ECN; RED; TCP; active queue management; average throughput; congestion control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-8844-5
Electronic_ISBN
978-1-4244-8845-2
Type
conf
DOI
10.1109/ICCTD.2010.5645972
Filename
5645972
Link To Document