Concepedia

Data-aware Scheduling

Data-Aware Scheduling is a computational resource management strategy that, as a scheduling paradigm, incorporates knowledge of data location, access patterns, and movement costs to optimize task placement and execution order, thereby minimizing data transfer overhead and improving processing efficiency in distributed data-intensive computing environments.

91

Publications

4.1K

Citations

342

Authors

166

Institutions

Publications per year

2017–2026

37

Parents

Publications

91

A comprehensive survey for scheduling techniques in cloud computing

Mohit Kumar, Sharad Sharma, Anubhav Goel et al. · Journal of Network and Computer Applications · 2019 · 360 citations

, , +14

A new paradigm: Data-aware scheduling in grid computing

Tevfik Kosar, Mehmet Balman · Future Generation Computer Systems · 2008 · 271 citations

, , +16

Optimization of Big Data Scheduling in Social Networks

Weina Fu, Shuai Liu, Gautam Srivastava · Entropy · 2019 · 230 citations · Full text

, , +14

Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance

Ruben Foresti, Stefano Rossi, Matteo Magnani et al. · Engineering · 2020 · 172 citations · Full text

, , +17

FLEX: a slot allocation scheduling optimizer for MapReduce workloads

Joel L. Wolf, Deepak Rajan, Kirsten Hildrum et al. · ACM/IFIP/USENIX international conference on Middleware · 2010 · 135 citations

, , +13

1–5 of 91

Authors

342

  1. AY
    Albert Y. Zomaya

    The University of Sydney, Australia

    4 publications · 262 citations

    4

    h-index

  2. KH
    Kirsten Hildrum

    IBM (United States), United States

    3 publications · 163 citations

    3

    h-index

  3. DS
    Daniel S. Katz

    University of Illinois Urbana-Champaign, United States

    3 publications · 82 citations

    3

    h-index

  4. IF
    Ian Foster

    Argonne National Laboratory, United States

    3 publications · 118 citations

    3

    h-index

  5. JM
    Justin M. Wozniak

    Argonne National Laboratory, United States

    3 publications · 53 citations

    3

    h-index

1–5 of 342

Institutions

166

  1. Argonne National Laboratory

    Lemont, United States

    8 h-index

    17 publications

    530 citations

  2. University of Chicago

    Chicago, United States

    4 h-index

    11 publications

    351 citations

  3. The University of Sydney

    Sydney, Australia

    4 h-index

    7 publications

    557 citations

  4. Los Alamos National Laboratory

    Los Alamos, United States

    3 h-index

    3 publications

    182 citations

  5. Johns Hopkins University

    Baltimore, United States

    3 h-index

    8 publications

    168 citations

  6. Microsoft (United States)

    Redmond, United States

    3 h-index

    8 publications

    966 citations

  7. Commonwealth Scientific and Industrial Research Organisation

    Canberra, Australia

    3 h-index

    5 publications

    313 citations

  8. IBM Research - Almaden

    San Jose, United States

    3 h-index

    3 publications

    163 citations

1–8 of 166

Venues

  1. Future Generation Computer Systems

    FGCS · 7 publications · 499 citations

    7

    h-index

  2. Journal of Parallel and Distributed Computing

    3 publications · 136 citations

    3

    h-index

  3. 3

    h-index

  4. IEEE Transactions on Industrial Informatics

    2 publications · 127 citations

    2

    h-index

  5. Journal of Network and Computer Applications

    JNCA · 2 publications · 414 citations

    2

    h-index

1–5