• 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