Scalability Bottlenecks

Scalability Bottlenecks is a phenomenon in distributed computing systems where increased system size or complexity leads to disproportionate growth in communication overhead, thereby limiting performance gains and constraining the system’s ability to scale efficiently.

274

Publications

21.5K

Citations

1K

Authors

358

Institutions

Publications per year

2017–2026

99

Authors

1K

  1. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    4 publications · 301 citations

    4

    h-index

  2. JS
    Jeffrey S. Vetter

    Oak Ridge National Laboratory, United States

    4 publications · 286 citations

    4

    h-index

  3. CP
    Calton Pu

    Georgia Institute of Technology, United States

    3 publications · 47 citations

    3

    h-index

  4. HY
    Hongfeng Yu

    Chinese Academy of Sciences, China

    3 publications · 282 citations

    3

    h-index

  5. EA
    Eduard Ayguadé

    Universitat Politècnica de Catalunya, Spain

    3 publications · 69 citations

    3

    h-index

1–5 of 1K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 519 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 222 citations

    6

    h-index

  3. Queue

    4 publications · 136 citations

    4

    h-index

  4. 3

    h-index

  5. Cluster Computing

    3 publications · 109 citations

    3

    h-index

1–5