DocumentCode
1495248
Title
A Lexicographic Optimization Framework to the Flow Control Problem
Author
Ros, J. ; Tsai, W.K.
Author_Institution
Reservoir Labs., Newport Beach, CA, USA
Volume
56
Issue
6
fYear
2010
fDate
6/1/2010 12:00:00 AM
Firstpage
2875
Lastpage
2886
Abstract
In this paper, a theory of lexicographic optimization for convex and compact feasible sets is presented. Existence, globality, unimodality, and uniqueness of the solution to the problem are proved. Also, necessary and sufficient conditions are derived that establish the relationship between the lexicographic problem and the maxmin problem. This framework is shown to be useful in the problem of designing flow control protocols. Towards this objective, a theory of bottleneck ordering is introduced, which unveils the convergence properties of the flow control problem.
Keywords
convergence; convex programming; data communication; minimax techniques; telecommunication congestion control; bottleneck ordering theory; convergence property; convex optimization; flow control problem; lexicographic optimization; maxmin problem; Bandwidth; Communication networks; Convergence; Information analysis; Linear programming; Protocols; Reservoirs; Sufficient conditions; Unicast; Lexicographic optimization; linear programming; maxmin; network flow control;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2010.2046227
Filename
5466532
Link To Document