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
End-to-end congestion control schemes: utility functions, random losses and ECN marks
IEEE/ACM Transactions on Networking (TON)
Linear stability of TCP/RED and a scalable control
Computer Networks: The International Journal of Computer and Telecommunications Networking
An adaptive virtual queue (AVQ) algorithm for active queue management
IEEE/ACM Transactions on Networking (TON)
IEEE Network: The Magazine of Global Internetworking
The mechanism of adapting RED parameters to TCP traffic
Computer Communications
Pricing and unresponsive flows purging for global rate enhancement
Journal of Electrical and Computer Engineering
On the use of a full information feedback to stabilize RED
Journal of Network and Computer Applications
A robust active queue management scheme for network congestion control
Computers and Electrical Engineering
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One main TCP congestion control objective is, by dynamically adjusting the source window size according to the router queue level, to stabilize the buffer queue length at a given target, thereby achieving predictable queueing delay, reducing packet loss and maximizing link utilization. One difficulty therein is the TCP acknowledging actions will experience a time delay from the router to the source in a TCP system. In this paper, a time-delay control theory is applied to analyze the mechanism of packet-dropping at router and the window-updating in TCP source in TCP congestion control for a TCP/RED dynamic model. We then derive explicit conditions under which the TCP/RED system is asymptotically stable in terms of the instantaneous queue. We discuss the convergence of the buffer queue lengths in the routers. Our results suggest that, if the network parameters satisfy certain conditions, the TCP/RED system is stable and its queue length can converge to any target. We illustrate the theoretical results using ns2 simulations and demonstrate that the network can achieve good performance and converge to the arbitrary target queues.