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MaxNet: Faster Flow Control Convergence

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNCS,volume 3042)


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.


  • Demand Function
  • Break Point
  • Convergence Time
  • Loop Gain
  • Bottleneck Link

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© 2004 Springer-Verlag Berlin Heidelberg

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Wydrowski, B.P., Andrew, L.L.H., Mareels, I.M.Y. (2004). MaxNet: Faster Flow Control Convergence. In: Mitrou, N., Kontovasilis, K., Rouskas, G.N., Iliadis, I., Merakos, L. (eds) Networking 2004. NETWORKING 2004. Lecture Notes in Computer Science, vol 3042. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21959-0

  • Online ISBN: 978-3-540-24693-0

  • eBook Packages: Springer Book Archive