(Enter summary)
Abstract: In the last few years, significant progress has been
made in the mathematical modelling of congestion control and
congestion feedback mechanisms in the Internet. The resulting
models have proved to be very useful in improving existing
control and feedback mechanisms, and to make them scalable
to networks that operate at very high speeds. Tools from convex
optimization, control theory and stochastic processes have played
a major role in the development of this Internet congestion
control theory. ... (Update)
Cited by: More
Randomized Algorithms for Stability and Robustness.. - Alpcan, Basar, Tempo (2005)
(Correct)
A Globally Stable Adaptive Congestion Control Scheme for.. - Alpcan, Basar (2003)
(Correct)
Global Stability Analysis of an End-to-End Congestion Control.. - Alpcan, Basar (2003)
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0.0: Mathematical modelling of the Internet - Kelly (1999)
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0.0: An Optimization Based Approach for QoS Routing in.. - Lin, Shroff (2004)
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1.0: Controlling the Internet: A Survey and Some New Results - Liu, Basar, Srikant (2003)
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BibTeX entry: (Update)
Shao Liu, T. Basar, and R. Srikant "Controlling the Internet: A survey and some new results" In Proceedings of 42nd IEEE Conference on Decision and Control Mauii, HW, Dec., 2003. http://citeseer.ist.psu.edu/liu03controlling.html More
@misc{ liu03controlling,
author = "S. Liu and T. Basar and R. Srikant",
title = "Controlling the Internet: A survey and some new results",
text = "Shao Liu, T. Basar, and R. Srikant Controlling the Internet: A survey and
some new results In Proceedings of 42nd IEEE Conference on Decision and
Control Mauii, HW, Dec., 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/liu03controlling.html" }
Citations (may not include all citations):
463
Rate control in communication networks: shadow prices, propo..
- Kelly, Maulloo et al. - 1998
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