Load Balancing Architectures

Load Balancing Architectures is a computational framework that systematically distributes incoming network traffic or application workloads across multiple servers or resources to optimize responsiveness, maximize throughput, and ensure fault tolerance in cloud infrastructure systems.

180

Publications

9.6K

Citations

603

Authors

226

Institutions

Publications per year

2017–2026

49

Authors

603

  1. RG
    Rohan Gandhi

    Purdue University West Lafayette, United States

    3 publications · 254 citations

    3

    h-index

  2. LY
    Lihua Yuan

    Microsoft (United States), United States

    2 publications · 239 citations

    2

    h-index

  3. KC
    Kevin Chu

    Google (United States), United States

    2 publications · 859 citations

    2

    h-index

  4. BF
    Bruno Feijó

    Pontifícia Universidade Católica do Rio de Janeiro, Brazil

    2 publications · 20 citations

    2

    h-index

  5. AV
    Alessandro V. Papadopoulos

    Mälardalen University, Sweden

    2 publications · 60 citations

    2

    h-index

1–5 of 603

Venues

  1. IEEE Access

    4 publications · 114 citations

    4

    h-index

  2. Cluster Computing

    3 publications · 179 citations

    3

    h-index

  3. ACM SIGMETRICS Performance Evaluation Review

    PER · 3 publications · 297 citations

    3

    h-index

  4. Journal of Parallel and Distributed Computing

    3 publications · 230 citations

    3

    h-index

  5. ACM SIGCOMM Computer Communication Review

    CCR · 2 publications · 242 citations

    2

    h-index

1–5