Distributed Computing Throughput

Distributed Computing Throughput is a performance metric that quantifies the total volume of computational tasks successfully processed per unit time across interconnected nodes in a distributed system, distinguishing itself from related metrics by explicitly accounting for inter-node communication, coordination, and workload distribution efficiency.

19

Publications

539

Citations

65

Authors

41

Institutions

Publications per year

2017–2026

3

Authors

65

  1. DY
    Dengpan Yin

    Louisiana State University, United States

    2 publications · 58 citations

    2

    h-index

  2. EY
    Esma Yildirim

    University at Buffalo, State University of New York, United States

    2 publications · 58 citations

    2

    h-index

  3. TK
    Tevfik Kosar

    University at Buffalo, State University of New York, United States

    2 publications · 58 citations

    2

    h-index

  4. TJ
    Toby J. Teorey

    University of Michigan, United States

    1 publications · 14 citations

    1

    h-index

  5. BE
    Brandon E. Ross

    Clemson University, United States

    1 publications · 48 citations

    1

    h-index

1–5 of 65

Venues

  1. IEEE Transactions on Network and Service Management

    TNSM · 2 publications · 65 citations

    2

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 69 citations

    2

    h-index

  3. 1

    h-index

  4. IEEE Distributed Systems Online

    1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5