Title
Deterministic and stochastic convergence properties of AIMD algorithms with nonlinear back-off functions
Abstract
In this paper we establish basic stability results for a class of nonlinear AIMD (additive-increase multiplicative-decrease) algorithms. We consider networks in which the nonlinearity enters through the multiplicative-decrease mechanism. In particular, where the multiplicative-decrease function depends in a nonlinear fashion on the achieved rate. For synchronized deterministic networks, we establish stability and convergence results. For non-synchronized stochastic networks, basic convergence results are also established. In particular, we give conditions for the existence of a unique invariant stationary distribution, and conditions under which time- and ensemble-averages converge to the same unique value (irrespective of initial conditions).
Year
DOI
Venue
2012
10.1016/j.automatica.2012.03.014
Automatica
Keywords
Field
DocType
Congestion Control,TCP,AIMD,Iterated function systems,Products of stochastic matrices
Convergence (routing),Iterated function system,Mathematical optimization,Nonlinear system,Control theory,Algorithm,Network congestion,Invariant (mathematics),Stationary distribution,Mathematics
Journal
Volume
Issue
ISSN
48
7
0005-1098
Citations 
PageRank 
References 
2
0.38
9
Authors
2
Name
Order
Citations
PageRank
Martin Corless1349.52
Robert Shorten226924.19