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MaxNet: Faster flow control convergence

Wydrowski, Bartek P. and Andrew, Lachlan L. H. and Mareels, Iven M. Y. (2004) MaxNet: Faster flow control convergence. In: Networking 2004. Lecture Notes in Computer Science. No.3042. Springer , Berlin, pp. 588-599. ISBN 978-3-540-21959-0. https://resolver.caltech.edu/CaltechAUTHORS:20170810-105726465

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Abstract

MaxNet is a distributed congestion control architecture in which only the most severely bottlenecked link on the end-to-end path controls the source rate. This paper shows that the small-signal convergence speed of MaxNet is higher than that of conventional architectures, such as the current Internet or REM. It also shows that MaxNet decouples the control, so that each pole position depends only on parameters of one bottleneck link and of the sources controlled by that bottleneck, enabling optimal pole placement.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-3-540-24693-0_49DOIArticle
https://link.springer.com/chapter/10.1007/978-3-540-24693-0_49PublisherArticle
http://rdcu.be/uZDQPublisherFree ReadCube access
Additional Information:© 2004 Springer-Verlag Berlin Heidelberg. This work was funded by the Australian Research Council.
Funders:
Funding AgencyGrant Number
Australian Research CouncilUNSPECIFIED
Series Name:Lecture Notes in Computer Science
Issue or Number:3042
DOI:10.1007/978-3-540-24693-0_49
Record Number:CaltechAUTHORS:20170810-105726465
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170810-105726465
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80099
Collection:CaltechAUTHORS
Deposited By: Linqi Guo
Deposited On:14 Aug 2017 20:11
Last Modified:15 Nov 2021 17:52

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