Scheduling In Grid Computing

Scheduling in Grid Computing is a computational resource allocation strategy that coordinates the execution of tasks across geographically distributed and heterogeneous resources in a grid environment to optimize performance metrics such as throughput, response time, and resource utilization.

1.3K

Publications

55.9K

Citations

2.6K

Authors

834

Institutions

Publications per year

2017–2026

31

Authors

2.6K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    47 publications · 7.4K citations

    31

    h-index

  2. HC
    Henri Casanova

    University of Hawaiʻi at Mānoa, United States

    28 publications · 2.5K citations

    22

    h-index

  3. FX
    Fatos Xhafa

    Universitat Politècnica de Catalunya, Spain

    21 publications · 1.4K citations

    19

    h-index

  4. ED
    Ewa Deelman

    University of Southern California, United States

    13 publications · 1.2K citations

    13

    h-index

  5. LL
    Li Layuan

    Wuhan University of Technology, China

    16 publications · 462 citations

    12

    h-index

1–5 of 2.6K

Venues

  1. Future Generation Computer Systems

    FGCS · 72 publications · 4.7K citations

    36

    h-index

  2. Journal of Grid Computing

    23 publications · 1.1K citations

    19

    h-index

  3. 19

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 20 publications · 1.6K citations

    18

    h-index

  5. Journal of Parallel and Distributed Computing

    20 publications · 828 citations

    17

    h-index

1–5