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Bicriteria Models for Fair and Efficient Resource Allocation

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Social Informatics (SocInfo 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6430))

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Abstract

Resource allocation problems are concerned with the allocation of limited resources among competing agents so as to achieve the best system performances. In systems which serve many users, like in networking, there is a need to respect some fairness rules while looking for the overall efficiency. The so-called Max-Min Fairness is widely used to meet these goals. However, allocating the resource to optimize the worst performance may cause a dramatic worsening of the overall system efficiency. Therefore, several other fair allocation schemes are searched and analyzed. In this paper we show how the scalar inequality measures can be consistently used in bicriteria models to search for fair and efficient allocations while taking into account importance weighting of the agents.

This work was partially supported by the Polish Ministry of Science and Higher Education under the grants N N516 4307 33 and 69/N-SINGAPUR/2007/0.

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Authors and Affiliations

  1. Institute of Control & Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Włodzimierz Ogryczak

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  1. Włodzimierz Ogryczak
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Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa, 02-008, Warsaw, Poland

    Leonard Bolc  & Adam Wierzbicki  & 

  2. International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1., 2361, Laxenburg, Austria

    Marek Makowski

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Ogryczak, W. (2010). Bicriteria Models for Fair and Efficient Resource Allocation. In: Bolc, L., Makowski, M., Wierzbicki, A. (eds) Social Informatics. SocInfo 2010. Lecture Notes in Computer Science, vol 6430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16567-2_11

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  • DOI: https://doi.org/10.1007/978-3-642-16567-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16566-5

  • Online ISBN: 978-3-642-16567-2

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