DocumentCode :
69949
Title :
Resource Allocation: Realizing Mean-Variability-Fairness Tradeoffs
Author :
Joseph, Vinay ; de Veciana, Gustavo ; Arapostathis, Ari
Author_Institution :
Univ. of Texas at Austin, Austin, TX, USA
Volume :
60
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
19
Lastpage :
33
Abstract :
Network utility maximization (NUM) is a key conceptual framework to study reward allocation amongst a collection of users/entities in disciplines as diverse as economics, law and engineering. However when the available resources and/or users´ utilities vary over time, reward allocations will tend to vary, which in turn may have a detrimental impact on the users´ overall satisfaction or quality of experience.
Keywords :
quality of experience; resource allocation; NUM; mean-variability-fairness tradeoffs; network utility maximization; quality of experience; resource allocation; reward allocation; Convex functions; Optimization; Quality assessment; Reactive power; Resource management; Vectors; Video recording; Network utility maximization (NUM);
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2014.2332731
Filename :
6843981
Link To Document :
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