Scalability Optimization

Scalability Optimization is a systematic approach within performance optimization that enhances the ability of virtualized or web systems to maintain efficiency and responsiveness under increasing workloads by identifying and eliminating bottlenecks in resource allocation, utilization, and distribution.

79

Publications

3.3K

Citations

252

Authors

110

Institutions

Publications per year

2017–2026

18

Authors

252

  1. LC
    Ludmila Cherkasova

    Hewlett-Packard (United States), United States

    3 publications · 109 citations

    3

    h-index

  2. JC
    James C. Hu

    Texas A&M University, United States

    3 publications · 66 citations

    3

    h-index

  3. IC
    I‐Hsin Chung

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 57 citations

    2

    h-index

  4. FC
    Franck Cappello

    Argonne National Laboratory, United States

    2 publications · 60 citations

    2

    h-index

  5. PJ
    P. Jogalekar

    Carleton University, Canada

    2 publications · 298 citations

    2

    h-index

1–5 of 252

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 3 publications · 837 citations

    3

    h-index

  2. Journal of Intelligent Manufacturing

    2 publications · 33 citations

    2

    h-index

  3. IEEE Internet Computing

    2 publications · 61 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5