Stability of Adaptive Congestion-Controllers for High Bandwidth Connections
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Kavak, Egemen
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In this paper we use fluid-models to look at the adaptation of congestion-controllers to achieve higher throughputs and utilizations in high bandwidth connections. We first parameterize the congestion-controllers using a parameter called the multiplicative decrease parameter and study the adaptation of the congestion-controllers in terms of adapting this parameter. We then linearize the system to study the local stability properties and provide design rules for choosing the parameters of the congestion-controllers. We assume a general network topology and arbitrary round-trip delays in the analysis. Simulations that show the throughput increase that can be achieved using such adaptive congestion-controllers are also presented.
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2003-12-09
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2023-05-16T21:45:15.000
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Copyright 2003 IEEE. Reprinted from Proceedings of the 42nd IEEE Conference on Decision and Control 2003, Volume 4, pages 3659-3664. Publisher URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isNumber=28456&page=5 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Copyright 2003 IEEE. Reprinted from Proceedings of the 42nd IEEE Conference on Decision and Control 2003, Volume 4, pages 3659-3664. Publisher URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isNumber=28456&page=5 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Copyright 2003 IEEE. Reprinted from Proceedings of the 42nd IEEE Conference on Decision and Control 2003, Volume 4, pages 3659-3664. Publisher URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isNumber=28456&page=5 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.