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Performance Evaluation
Volume 65, Issues 6-7, June 2008, Pages 417-440
Innovative Performance Evaluation Methodologies and Tools: Selected Papers from ValueTools 2006
 
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doi:10.1016/j.peva.2007.12.007    
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Copyright © 2008 Published by Elsevier B.V.

TCP-Illinois: A loss- and delay-based congestion control algorithm for high-speed networks

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Shao LiuCorresponding Author Contact Information, a, E-mail The Corresponding Author, Tamer Başara, E-mail The Corresponding Author and R. Srikanta, E-mail The Corresponding Author

aDepartment of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1308 West Main Street, Urbana, IL 61801-2307, USA


Received 31 October 2007; 
accepted 7 December 2007. 
Available online 28 December 2007.

Abstract

We introduce a new congestion control algorithm for high-speed networks, called TCP-Illinois. TCP-Illinois uses packet loss information to determine whether the window size should be increased or decreased, and uses queueing delay information to determine the amount of increment or decrement. TCP-Illinois achieves high throughput, allocates the network resource fairly, and is incentive compatible with standard TCP. We also build a new stochastic matrix model, capturing standard TCP and TCP-Illinois as special cases, and use this model to analyze their fairness properties for both synchronized and unsynchronized backoff behaviors. We finally perform simulations to demonstrate the performance of TCP-Illinois.

Keywords: Congestion control; TCP; Fairness; Stability; Synchronization

Article Outline

1. Introduction
2. Background and motivation
3. The TCP-Illinois protocol
4. Fairness and stability
4.1. Stochastic matrix model for general AIMD algorithms
4.2. Markov chain for identical αi(t) and constant βi[k]
4.3. Stability and fairness: General case
4.4. Models for ρs(dot operator) and qi(dot operator)
4.5. Synchronization and fairness
4.6. Compatibility with the standard TCP
5. TCP-Illinois properties
6. Simulation results
6.1. Single user: Efficiency property
6.2. Multiple users: Fairness property
6.3. Performance in lossy/wireless networks
6.4. Performance with noisy RTT measurement
7. Conclusion
Acknowledgements
References
Vitae
















Corresponding Author Contact InformationCorresponding author. Tel.: +1 217 621 1632.

Performance Evaluation
Volume 65, Issues 6-7, June 2008, Pages 417-440
Innovative Performance Evaluation Methodologies and Tools: Selected Papers from ValueTools 2006
 
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