Cloud Scheduling

Cloud Scheduling is a distributed scheduling paradigm that specifically manages and optimizes the allocation of computational tasks to virtualized resources in a cloud computing environment, distinguished by its dynamic scalability, on-demand resource provisioning, and multi-tenancy awareness.

2.9K

Publications

144K

Citations

6.6K

Authors

1.8K

Institutions

Publications per year

2017–2026

1.4K

Variants

Cloud Task Scheduling

Authors

6.6K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    52 publications · 6.8K citations

    37

    h-index

  2. AY
    Albert Y. Zomaya

    The University of Sydney, Australia

    20 publications · 1.1K citations

    19

    h-index

  3. PK
    Prasanta K. Jana

    Indian Institute of Technology Dhanbad, India

    17 publications · 1.1K citations

    16

    h-index

  4. WL
    Weiwei Lin

    South China University of Technology, China

    16 publications · 850 citations

    16

    h-index

  5. SK
    Sanjaya Kumar Panda

    Veer Surendra Sai University of Technology, India

    16 publications · 995 citations

    15

    h-index

1–5 of 6.6K

Venues

  1. Future Generation Computer Systems

    FGCS · 77 publications · 6.6K citations

    45

    h-index

  2. Cluster Computing

    83 publications · 4.4K citations

    41

    h-index

  3. IEEE Access

    82 publications · 4.5K citations

    41

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 54 publications · 4K citations

    35

    h-index

  5. The Journal of Supercomputing

    70 publications · 3.2K citations

    35

    h-index

1–5