DocumentCode :
243374
Title :
Fair Optimization -- Methodological Foundations of Fairness in Network Resource Allocation
Author :
Ogryczak, Wlodzimierz
Author_Institution :
Inst. of Control & Comput. Eng., Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2014
fDate :
21-25 July 2014
Firstpage :
43
Lastpage :
48
Abstract :
Network resource allocation problems are concerned with the allocation of limited resources among competing entities so as to respect some fairness rules while looking for the overall efficiency. This paper presents the methodology of fair optimization representing inequality averse optimization rather than strict inequality minimization as foundation of fairness in resource allocation. Commonly applied in network resource allocation Max-Min Fairness or the lexicographic maxim in optimization are the most widely known concepts of fair optimization. Alternative models of fair optimization are discussed showing that they generate all the classical fair solution concepts as special cases. However, the concepts of fair optimization can be effectively used to generate various fair and efficient resource allocation schemes.
Keywords :
minimax techniques; resource allocation; fair optimization; fairness methodological foundations; fairness rules; inequality averse optimization; lexicographic maxim; network resource allocation max-min fairness problems; strict inequality minimization; Distribution functions; Minimization; Open wireless architecture; Optimization; Resource management; Standards; Vectors; equitability; fair; fairness; lexicographic maximin; optimization; resource allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International
Conference_Location :
Vasteras
Type :
conf
DOI :
10.1109/COMPSACW.2014.11
Filename :
6903103
Link To Document :
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