mk:eidwt11

Summary

Fuzzy Approaches to Proportional Fairness. Mario Köppen, Kaori Yoshida and Masato Tsuru. In Emerging Intelligent Data and Web Technologies (EIDWT), 2011 International Conference on, pages 72-77, Tirana, Albania, September 2011.

Abstract

Proportional fairness has been shown to maximize the aggregate utility of rate control for elastic traffic in a resource sharing communication network, and has been applied to a broad range of resource allocation problems. For a refined analysis, however, the representation of proportional fairness as a relation between vectors with positive components will often not provide the level of detail that is needed. Therefore, we study the representation as a fuzzy relation, and propose several ways to specify a measure function to allocate a degree of (proportional) relatedness. The approaches are based on combinatorial aspects, especially size and number of related subvectors, and geometric aspects, especially the minimum effort to change a vector to become related. A case study demonstrates that the introduced fuzzy fairness relations can be used to numerically evaluate the suitability of the maxmin fair state to represent the proportional fair state in a resource sharing network problem with maximum link capacities.

Bibtex entry

@INPROCEEDINGS { mk:eidwt11,
    ABSTRACT = { Proportional fairness has been shown to maximize the aggregate utility of rate control for elastic traffic in a resource sharing communication network, and has been applied to a broad range of resource allocation problems. For a refined analysis, however, the representation of proportional fairness as a relation between vectors with positive components will often not provide the level of detail that is needed. Therefore, we study the representation as a fuzzy relation, and propose several ways to specify a measure function to allocate a degree of (proportional) relatedness. The approaches are based on combinatorial aspects, especially size and number of related subvectors, and geometric aspects, especially the minimum effort to change a vector to become related. A case study demonstrates that the introduced fuzzy fairness relations can be used to numerically evaluate the suitability of the maxmin fair state to represent the proportional fair state in a resource sharing network problem with maximum link capacities. },
    ADDRESS = { Tirana, Albania },
    AUTHOR = { Mario Köppen and Kaori Yoshida and Masato Tsuru },
    BOOKTITLE = { Emerging Intelligent Data and Web Technologies (EIDWT), 2011 International Conference on },
    ADDED = { 2011-07-05 22:45:49 +0900 },
    MODIFIED = { 2011-12-14 14:09:40 +0900 },
    MONTH = { September },
    PAGES = { 72-77 },
    PDF = { eidwt11.pdf },
    TITLE = { Fuzzy Approaches to Proportional Fairness },
    YEAR = { 2011 },
}

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News

Next conferences COMPSAC 2014 (Vasteras, Sweden, July 2014), INCoS-2014 (Salerno, Italy, September 2014).

New edited book "Soft Computing in Industrial Applications", V. Snasel, P. Kroemer, M. Koeppen, G. Schaefer, Springer AISC 223, July 2013.