Distributed Resource Management

Distributed Resource Management is a resource management paradigm in which the coordination, allocation, and scheduling of computational and storage resources across geographically dispersed and heterogeneous nodes are performed in a decentralized or federated manner to support scalable and fault-tolerant service delivery in Edge Resource Management and Service-Oriented Grid Computing environments.

784

Publications

43.4K

Citations

2.2K

Authors

680

Institutions

Publications per year

2017–2026

95

Authors

2.2K

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    27 publications · 6.2K citations

    23

    h-index

  2. AV
    Amin Vahdat

    University of California San Diego, United States

    13 publications · 1.2K citations

    12

    h-index

  3. IF
    Ian Foster

    Argonne National Laboratory, United States

    9 publications · 2.4K citations

    9

    h-index

  4. BC
    Brent Chun

    University of California, Berkeley, United States

    7 publications · 733 citations

    7

    h-index

  5. AC
    Alex C. Snoeren

    University of California San Diego, United States

    7 publications · 463 citations

    7

    h-index

1–5 of 2.2K

Venues

  1. 14

    h-index

  2. Future Generation Computer Systems

    FGCS · 12 publications · 1.8K citations

    12

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 13 publications · 579 citations

    12

    h-index

  4. ACM SIGOPS Operating Systems Review

    7 publications · 1.2K citations

    7

    h-index

  5. The Journal of Supercomputing

    6 publications · 121 citations

    6

    h-index

1–5