Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
BLUE: an alternative approach to active queue management
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
A control theoretic approach to active queue management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
DSRED: an active queue management scheme for next generation networks
LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
Exponential-RED: a stabilizing AQM scheme for low- and high-speed TCP protocols
IEEE/ACM Transactions on Networking (TON)
LRED: A Robust and Responsive AQM Algorithm Using Packet Loss Ratio Measurement
IEEE Transactions on Parallel and Distributed Systems
Nonlinear RED: a simple yet efficient active queue management scheme
Computer Networks: The International Journal of Computer and Telecommunications Networking
Effective RED: An algorithm to improve RED's performance by reducing packet loss rate
Journal of Network and Computer Applications
Revisiting adaptive RED: beyond AIMD algorithms
NET-COOP'07 Proceedings of the 1st EuroFGI international conference on Network control and optimization
Bufferbloat: Dark Buffers in the Internet
IEEE Internet Computing
On the use of a full information feedback to stabilize RED
Journal of Network and Computer Applications
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Random Early Detection (RED) is a widely deployed active queue management algorithm that improves the overall performance of the network in terms of throughput and delay. The effectiveness of RED algorithm, however, highly depends on appropriate setting of its parameters. Moreover, the performance of RED is quite sensitive to abrupt changes in the traffic load. In this paper, we propose a Cautious Adaptive Random Early Detection (CARED) algorithm that dynamically varies maximum drop probability based on the level of traffic load to improve the overall performance of the network. Based on extensive simulations conducted using Network Simulator-2 (ns-2), we show that CARED algorithm reduces the packet drop rate and achieves high throughput as compared to RED, Adaptive RED and Refined Adaptive RED. Unlike other RED based algorithms, CARED algorithm does not introduce new parameters to achieve performance gain and hence can be deployed without any additional complexity.