Published 2004 | Version public
Book Section - Chapter

MaxNet: Faster flow control convergence

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.

Additional Information

© 2004 Springer-Verlag Berlin Heidelberg. This work was funded by the Australian Research Council.

Additional details

Identifiers

Eprint ID
80099
Resolver ID
CaltechAUTHORS:20170810-105726465

Funding

Australian Research Council

Dates

Created
2017-08-14
Created from EPrint's datestamp field
Updated
2021-11-15
Created from EPrint's last_modified field

Caltech Custom Metadata

Series Name
Lecture Notes in Computer Science
Series Volume or Issue Number
3042