Concepedia

Data-aware Task Scheduling

Data-Aware Task Scheduling is a task scheduling strategy that incorporates knowledge of data location, access patterns, and movement costs to optimize task placement and execution order, thereby minimizing data transfer overhead and improving data locality in distributed computing environments.

46

Publications

2.2K

Citations

174

Authors

86

Institutions

Publications per year

2017–2026

18

Parents

Publications

46

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

Optimizing load balancing and data-locality with data-aware scheduling

Ke Wang, Xraobing Zhou, Tonglin Li et al. · 2014 · 132 citations

, , +17

Scheduling for Workflows with Security-Sensitive Intermediate Data by Selective Tasks Duplication in Clouds

Huangke Chen, Xiaomin Zhu, Dishan Qiu et al. · IEEE Transactions on Parallel and Distributed Systems · 2017 · 119 citations

, , +17

Scheduling and Aggregation Design for Asynchronous Federated Learning Over Wireless Networks

Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson · IEEE Journal on Selected Areas in Communications · 2023 · 103 citations

, , +16

1–5 of 46

Authors

174

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    3 publications · 54 citations

    3

    h-index

  2. IF
    Ian Foster

    Argonne National Laboratory, United States

    3 publications · 118 citations

    3

    h-index

  3. JM
    Justin M. Wozniak

    Argonne National Laboratory, United States

    3 publications · 53 citations

    3

    h-index

  4. FR
    Francisco Rodrigo Duro

    Universidad Carlos III de Madrid, Spain

    2 publications · 29 citations

    2

    h-index

  5. DS
    Daniel S. Katz

    University of Illinois Urbana-Champaign, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 174

Institutions

86

  1. Argonne National Laboratory

    Lemont, United States

    6 h-index

    15 publications

    467 citations

  2. The University of Melbourne

    Melbourne, Australia

    3 h-index

    4 publications

    80 citations

  3. University of Chicago

    Chicago, United States

    3 h-index

    10 publications

    320 citations

  4. Universidad Carlos III de Madrid

    Madrid, Spain

    2 h-index

    7 publications

    98 citations

  5. Louisiana State University

    Baton Rouge, United States

    2 h-index

    3 publications

    565 citations

  6. Los Alamos National Laboratory

    Los Alamos, United States

    2 h-index

    2 publications

    150 citations

  7. Huazhong University of Science and Technology

    Wuhan, China

    2 h-index

    4 publications

    198 citations

  8. Microsoft (United States)

    Redmond, United States

    2 h-index

    2 publications

    168 citations

1–8 of 86

Venues

  1. Future Generation Computer Systems

    FGCS · 4 publications · 378 citations

    4

    h-index

  2. 2

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 211 citations

    2

    h-index

  4. Journal of Parallel and Distributed Computing

    2 publications · 35 citations

    2

    h-index

  5. Digital Communications and Networks

    DCN · 1 publications · 48 citations

    1

    h-index

1–5