DocumentCode :
3743309
Title :
On the modified AIMD algorithm for distributed resource management with saturation of each user´s share
Author :
S. Stüdli;M. Corless;R. H. Middleton;R. Shorten
Author_Institution :
School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan NSW 2308, Australia
fYear :
2015
Firstpage :
1631
Lastpage :
1636
Abstract :
Recently the additive increase multiplicative decrease (AIMD) algorithm has been applied in fields other than congestion control in communications networks. A major attribute of these new applications is that the share of each user is bounded. Simulations suggest that AIMD performs well, even in the case of individual constraints on each user. In this paper, we provide a formal proof of exponential convergence to a unique fixed-point for the AIMD algorithm under individual user constraints.
Keywords :
"Context","Additives","Smart grids","Upper bound","Convergence","Optimization","Artificial intelligence"
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type :
conf
DOI :
10.1109/CDC.2015.7402444
Filename :
7402444
Link To Document :
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