Load Balancing Games

Load Balancing Games is a class of non-cooperative games in which self-interested players allocate tasks to resources with the objective of minimizing their own cost, typically defined as the load on the selected resource, thereby inducing strategic interactions where the efficiency of resource distribution emerges from decentralized decision-making.

17

Publications

649

Citations

31

Authors

23

Institutions

Publications per year

2017–2026

1

Authors

31

  1. UA
    Urtzi Ayesta

    Centre National de la Recherche Scientifique, France

    3 publications · 55 citations

    3

    h-index

  2. AT
    Anthony T. Chronopoulos

    The University of Texas at San Antonio, United States

    3 publications · 176 citations

    3

    h-index

  3. ML
    Ming‐Ying Leung

    The University of Texas at El Paso, United States

    2 publications · 167 citations

    2

    h-index

  4. EA
    Eitan Altman

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 88 citations

    2

    h-index

  5. HK
    Hisao Kameda

    University of Tsukuba, Japan

    2 publications · 88 citations

    2

    h-index

1–5 of 31

Venues

  1. Performance Evaluation

    2 publications · 41 citations

    2

    h-index

  2. 1

    h-index

  3. International Game Theory Review

    1 publications · 34 citations

    1

    h-index

  4. IEEE Transactions on Automatic Control

    1 publications · 54 citations

    1

    h-index

  5. Journal of Scheduling

    JOS · 1 publications · 26 citations

    1

    h-index

1–5