Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Adaptive packet marking for maintaining end-to-end throughput in a differentiated-services internet
IEEE/ACM Transactions on Networking (TON)
Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
The effects of active queue management on web performance
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
AFRED: An Adaptive Fuzzy-based Control Algorithm for Active Queue Management
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
Linear stability of TCP/RED and a scalable control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Nonlinear instabilities in TCP-RED
IEEE/ACM Transactions on Networking (TON)
Stability and TCP-friendliness of AIMD/RED systems with feedback delays
Computer Networks: The International Journal of Computer and Telecommunications Networking
Per-stream loss behavior of ΣMAP/M/1/K queuing system with a random early detection mechanism
Information Sciences: an International Journal
Study of ARED algorithm based on the 2nd order difference equation
Proceedings of the 5th International Conference on Queueing Theory and Network Applications
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Random early detection (RED) is expected to eliminate global synchronization by random active packet drop. Its packet drop probability is decided by the maximum packet drop probability in its drop function, buffer thresholds, and average queue length. It has been observed that for a large number of connections, a small value of the maximum packet drop probability may not eliminate global synchronization. Furthermore, since RED uses four parameters to regulate its performance, it is necessary to relate its maximum drop probability with those parameters. The objective of this paper is to develop a framework for the bounds of the maximum drop probability of RED, based on TCP channel model and traffic characteristics. The value of the maximum drop probability obtained by our model will make RED queue achieve its targeted goals.