Skew Mitigation

Skew Mitigation is a data partitioning strategy that addresses the uneven distribution of data across partitions by dynamically redistributing workloads or adjusting partition boundaries to balance resource utilization and improve system performance.

186

Publications

7.1K

Citations

546

Authors

208

Institutions

Publications per year

2017–2026

29

Authors

546

  1. DZ
    David Z. Pan

    The University of Texas at Austin, United States

    5 publications · 143 citations

    5

    h-index

  2. AR
    Anand Rajaram

    The University of Texas at Austin, United States

    4 publications · 130 citations

    4

    h-index

  3. YC
    Yao‐Wen Chang

    National Taiwan University, Taiwan

    4 publications · 105 citations

    4

    h-index

  4. RB
    Raouf Boutaba

    University of Waterloo, Canada

    3 publications · 75 citations

    3

    h-index

  5. AA
    Adnan Amin

    UNSW Sydney, Australia

    3 publications · 64 citations

    3

    h-index

1–5 of 546

Venues

  1. IEEE Journal of Solid-State Circuits

    7 publications · 870 citations

    7

    h-index

  2. 6

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 186 citations

    4

    h-index

  4. 3

    h-index

  5. IEEE Access

    2 publications · 93 citations

    2

    h-index

1–5