Concepedia

Workload-aware Partitioning

Workload-Aware Partitioning is a data partitioning strategy that belongs to the class of partitioning techniques and is distinguished by its explicit optimization of data distribution based on the observed or predicted access patterns and computational demands of the workload.

52

Publications

2.2K

Citations

166

Authors

74

Institutions

Publications per year

2017–2026

14

Parents

Publications

52

Automating physical database design in a parallel database

Jun Rao, Chun Zhang, Nimrod Megiddo et al. · 2002 · 209 citations

, , +16

A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks

Jianguo Chen, Kenli Li, Kashif Bilal et al. · IEEE Transactions on Parallel and Distributed Systems · 2018 · 185 citations · Full text

, , +17

A data- and workload-aware algorithm for range queries under differential privacy

Chao Li, Michael Hay, Gerome Miklau et al. · Proceedings of the VLDB Endowment · 2014 · 168 citations

, , +17

Application partitioning algorithms in mobile cloud computing: Taxonomy, review and future directions

Jieyao Liu, Ejaz Ahmed, Muhammad Shiraz et al. · Journal of Network and Computer Applications · 2014 · 142 citations · Full text

, , +14

Inverted file partitioning schemes in multiple disk systems

Byeong-Soo Jeong, Edward Omiecinski · IEEE Transactions on Parallel and Distributed Systems · 1995 · 96 citations

, , +17

1–5 of 52

Authors

166

  1. SM
    Samuel Madden

    Massachusetts Institute of Technology, United States

    5 publications · 182 citations

    5

    h-index

  2. LC
    Lei Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 108 citations

    3

    h-index

  3. PZ
    Peng Zou

    National University of Defense Technology, China

    2 publications · 66 citations

    2

    h-index

  4. HS
    Henk Sips

    Delft University of Technology, Netherlands

    2 publications · 66 citations

    2

    h-index

  5. DZ
    Dongyan Zhao

    Peking University, China

    2 publications · 59 citations

    2

    h-index

1–5 of 166

Institutions

74

  1. University of Wisconsin–Madison

    Madison, United States

    4 h-index

    9 publications

    328 citations

  2. University of Waterloo

    Waterloo, Canada

    3 h-index

    5 publications

    147 citations

  3. Peking University

    Beijing, China

    2 h-index

    3 publications

    105 citations

  4. Technische Universität Dresden

    Dresden, Germany

    2 h-index

    6 publications

    150 citations

  5. The University of Melbourne

    Melbourne, Australia

    2 h-index

    2 publications

    152 citations

  6. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    2 h-index

    2 publications

    95 citations

  7. Hunan University

    Changsha, China

    2 h-index

    4 publications

    100 citations

  8. IBM Research - Almaden

    San Jose, United States

    2 h-index

    6 publications

    666 citations

1–8 of 74

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 268 citations

    4

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 328 citations

    3

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 70 citations

    2

    h-index

  4. Operations Research

    1 publications · 74 citations

    1

    h-index

  5. 1

    h-index

1–5