Scalable Load Balancing

Scalable Load Balancing is a load balancing strategy that belongs to the class of distributed resource allocation mechanisms, distinguished by its ability to maintain performance efficiency and system responsiveness under increasing workloads by dynamically adapting to system growth without requiring proportional increases in management overhead.

90

Publications

3.4K

Citations

245

Authors

115

Institutions

Publications per year

2017–2026

16

Authors

245

  1. LV
    Laxmikant V. Kalé

    University of Illinois Urbana-Champaign, United States

    4 publications · 184 citations

    4

    h-index

  2. JD
    James Dinan

    Argonne National Laboratory, United States

    3 publications · 297 citations

    3

    h-index

  3. MC
    Michele Colajanni

    University of Modena and Reggio Emilia, Italy

    3 publications · 234 citations

    3

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    3 publications · 234 citations

    3

    h-index

  5. DA
    Daniel A. Reed

    University of Illinois Urbana-Champaign, United States

    2 publications · 62 citations

    2

    h-index

1–5 of 245

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 117 citations

    4

    h-index

  2. Journal of Parallel and Distributed Computing

    3 publications · 291 citations

    3

    h-index

  3. IEEE/ACM Transactions on Networking

    TON · 2 publications · 46 citations

    2

    h-index

  4. IEEE Distributed Systems Online

    1 publications · 26 citations

    1

    h-index

  5. 1

    h-index

1–5