Workload Placement

Workload Placement is a multi-cloud management decision process that determines the optimal allocation of computational tasks to specific cloud environments based on performance, cost, compliance, and resource availability constraints.

2.2K

Publications

115.9K

Citations

6K

Authors

1.6K

Institutions

Publications per year

2017–2026

1K

Authors

6K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    30 publications · 10.9K citations

    27

    h-index

  2. MG
    Mostafa Ghobaei‐Arani

    Qom Islamic Azad University, Iran

    13 publications · 968 citations

    12

    h-index

  3. RR
    Rajiv Ranjan

    Newcastle University, United Kingdom

    12 publications · 5.7K citations

    12

    h-index

  4. AY
    Albert Y. Zomaya

    The University of Sydney, Australia

    12 publications · 1.4K citations

    12

    h-index

  5. MS
    Małgorzata Steinder

    IBM (United States), United States

    11 publications · 780 citations

    11

    h-index

1–5 of 6K

Venues

  1. Future Generation Computer Systems

    FGCS · 98 publications · 9.4K citations

    46

    h-index

  2. The Journal of Supercomputing

    81 publications · 4.2K citations

    35

    h-index

  3. Journal of Network and Computer Applications

    JNCA · 45 publications · 3.7K citations

    30

    h-index

  4. Cluster Computing

    58 publications · 2.6K citations

    30

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 46 publications · 2.1K citations

    26

    h-index

1–5