Congestion management of IP traffic using adaptive exponential RED

Authors:
S. Suresh;Özdemir Göl
Affiliations:
School of Electrical & Information Engineering, University of South Australia, Adelaide, South Australia, Australia;School of Electrical & Information Engineering, University of South Australia, Adelaide, South Australia, Australia
Venue:
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Year:
2005

Citing 4
Cited 1

Random early detection gateways for congestion avoidance

IEEE/ACM Transactions on Networking (TON)
Computer networks: a systems approach

Computer networks: a systems approach
The BLUE active queue management algorithms

IEEE/ACM Transactions on Networking (TON)
An Introduction to IP Networks

BT Technology Journal

Congestion Management of Self Similar IP Traffic - Weighted Probability Normal and Exponential RED

HPCASIA '05 Proceedings of the Eighth International Conference on High-Performance Computing in Asia-Pacific Region

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Abstract

In an IP network, if the source rates are increased beyond the service rates of the routers, then queues of packets waiting to be routed at the buffers, build up and exceed the buffering capacity of these routers leading to packets getting dropped. This results in low throughput and congestion collapse. In such networks, an AQM mechanism manages queue lengths in buffers and enables the end-systems to react to such losses by reducing their packet rate, avoiding severe congestion. Random Early Detection (RED) is one of the first AQM mechanisms to be used to avoid congestion in this manner. In this paper, the existing Normal and Gentle RED algorithms of Floyd as well as the justification for the proposed modified exponential RED algorithm have been discussed along with the results obtained on the functioning of the algorithms. Functioning of the algorithm proposed has also been tested using ns2 Simulator.