Workload Scalability

Workload Scalability is a performance metric that characterizes the ability of a computing system to maintain or improve efficiency as the volume and complexity of tasks or requests increase proportionally.

46

Publications

4.3K

Citations

162

Authors

67

Institutions

Publications per year

2017–2026

16

Authors

162

  1. AD
    Angelos D. Keromytis

    Columbia University, United States

    3 publications · 45 citations

    3

    h-index

  2. DL
    Debra L. Cook

    Columbia University, United States

    2 publications · 33 citations

    2

    h-index

  3. PD
    Pawel Drozdowski

    Darmstadt University of Applied Sciences, Germany

    2 publications · 67 citations

    2

    h-index

  4. DA
    Daniel A. Menascé

    George Mason University, United States

    2 publications · 85 citations

    2

    h-index

  5. CR
    Christian Rathgeb

    Darmstadt University of Applied Sciences, Germany

    2 publications · 67 citations

    2

    h-index

1–5 of 162

Venues

  1. IET Biometrics

    BMT · 2 publications · 67 citations

    2

    h-index

  2. Simulation Modelling Practice and Theory

    2 publications · 67 citations

    2

    h-index

  3. Performance Evaluation

    2 publications · 155 citations

    2

    h-index

  4. IEEE Transactions on Computers

    1 publications · 62 citations

    1

    h-index

  5. Processes

    1 publications · 57 citations

    1

    h-index

1–5