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. © IFIP International Federation for Information Processing 2004.
Cite
CITATION STYLE
Wydrowski, B. P., Andrew, L. L. H., & Mareels, I. M. Y. (2004). MaxNet: Faster flow control convergence. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3042, 588–599. https://doi.org/10.1007/978-3-540-24693-0_49
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
