Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
A control theoretic approach to active queue management
Computer Networks: The International Journal of Computer and Telecommunications Networking
The BLUE active queue management algorithms
IEEE/ACM Transactions on Networking (TON)
DSRED: an active queue management scheme for next generation networks
LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
On Control Parameters Tuning for Active Queue Management Mechanisms using Multivariate Analysis
SAINT '03 Proceedings of the 2003 Symposium on Applications and the Internet
MRED: A New Approach to Random Early Detection
ICOIN '01 Proceedings of the The 15th International Conference on Information Networking
Markov Model Based Congestion Control for TCP
ANSS '04 Proceedings of the 37th annual symposium on Simulation
A self-configuring RED gateway for quality of service (QoS) networks
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
LRED: A Robust and Responsive AQM Algorithm Using Packet Loss Ratio Measurement
IEEE Transactions on Parallel and Distributed Systems
IEEE Network: The Magazine of Global Internetworking
Managing Internet routers congested links with a Kohonen-RED queue
Engineering Applications of Artificial Intelligence
FAutoREDwithRED: an algorithm to reduce queue oscillation in internet routers
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
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The Internet routers employing the random early detection (RED) algorithm for congestion control suffer from the problem of chaotic queue oscillation. It is well known that the slowly varying nature of the average queue size computed using an exponentially weighted moving average (EWMA) used in the RED scheme causes this chaotic behavior. This paper presents a new mathematical function to model the weighting parameter used in the EWMA. The proposed weighting function incorporates the knowledge of the dynamic changes in the congestion characteristics, traffic characteristics and queue normalization. Using this pragmatic information eliminates the slowly varying nature of the average queue size. It is evident from our simulations that the proposed approach not only reduces the chaotic queue oscillation significantly but also provides predictable low delay and low delay jitter with high throughput gain and reduced packet loss rate even under heavy load of traffic conditions.