Distributed System Tuning

Distributed System Tuning is a methodological framework within performance tuning that specializes in optimizing the efficiency, scalability, and reliability of distributed systems by systematically adjusting configuration parameters, resource allocation strategies, and communication protocols across interconnected nodes.

40

Publications

3.1K

Citations

139

Authors

59

Institutions

Publications per year

2017–2026

5

Authors

139

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    2 publications · 224 citations

    2

    h-index

  2. YY
    Youngjin Yoo

    Case Western Reserve University, United States

    2 publications · 570 citations

    2

    h-index

  3. BL
    Brian L. Tierney

    Lawrence Berkeley National Laboratory, United States

    2 publications · 118 citations

    2

    h-index

  4. GE
    Graham E. Fagg

    University of Tennessee at Knoxville, United States

    2 publications · 224 citations

    2

    h-index

  5. BE
    Ben Eaton

    Copenhagen Business School, Denmark

    2 publications · 570 citations

    2

    h-index

1–5 of 139

Venues

  1. Educational leadership

    EL · 1 publications · 11 citations

    1

    h-index

  2. MIS Quarterly

    1 publications · 558 citations

    1

    h-index

  3. Information Sciences

    1 publications · 51 citations

    1

    h-index

  4. Journal of Systems and Software

    JSS · 1 publications · 29 citations

    1

    h-index

  5. Evolutionary Intelligence

    1 publications · 21 citations

    1

    h-index

1–5