Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
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
End-to-end congestion control for the internet: delays and stability
IEEE/ACM Transactions on Networking (TON)
Congestion control for high bandwidth-delay product networks
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
End-to-end congestion control schemes: utility functions, random losses and ECN marks
IEEE/ACM Transactions on Networking (TON)
Delayed stability and performance of distributed congestion control
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Congestion control for high performance, stability, and fairness in general networks
IEEE/ACM Transactions on Networking (TON)
IEEE Network: The Magazine of Global Internetworking
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Recently, many new flow control mechanisms derived from classic Kelly model are proposed to solve network congestion problem. They perform well in stability, fairness or robustness. However, most of their convergence rates are linear since in classic Kelly model, link price is only positive. In addition, some need to introduce extra packet header to get price information. This paper presents a novel flow control model based on Kelly model in which the link price can be negative to improve the convergence rate. Further, The proposed model uses two bits of ECN field to feed back price instead of introducing new packet header data. Thus it can implement flow control scheme achieving exponential convergence in traditional TCP/IP datagram format. NS2 simulation results show that our model can keep fairness and asymptotic stability with more rapid convergence rate.