Data-aware Resource Allocation

Data-Aware Resource Allocation is a resource allocation strategy that belongs to the class of data locality optimization techniques, distinguished by its explicit consideration of data location, access patterns, and movement costs when assigning computational tasks to processing units in distributed systems.

38

Publications

1.2K

Citations

126

Authors

62

Institutions

Publications per year

2017–2026

16

Authors

126

  1. MC
    Ming-Syan Chen⋆

    National Taiwan University, Taiwan

    3 publications · 117 citations

    3

    h-index

  2. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    2 publications · 39 citations

    2

    h-index

  3. ST
    Sudeep Tanwar

    Nirma University, India

    1 publications · 51 citations

    2

    h-index

  4. HS
    Horst Samulowitz

    IBM (United States), United States

    2 publications · 64 citations

    2

    h-index

  5. GT
    Gerald Tesauro

    IBM (United States), United States

    2 publications · 64 citations

    2

    h-index

1–5 of 126

Venues

  1. Future Generation Computer Systems

    FGCS · 3 publications · 90 citations

    3

    h-index

  2. IEEE Communications Letters

    2 publications · 124 citations

    2

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 40 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5