Partition Placement

Partition Placement is a data management strategy that specifies the allocation of data partitions across distributed storage or computational nodes based on placement policies to optimize performance, availability, or fault tolerance.

33

Publications

1.2K

Citations

74

Authors

40

Institutions

Publications per year

2017–2026

7

Variants

Data Partition Placement

Authors

74

  1. AB
    Andrew B. Kahng

    University of California San Diego, United States

    3 publications · 290 citations

    3

    h-index

  2. AC
    Andrew Caldwell

    UCLA Health, United States

    2 publications · 152 citations

    2

    h-index

  3. IL
    Igor L. Markov

    University of Michigan, United States

    2 publications · 152 citations

    2

    h-index

  4. KL
    Kenli Li

    Hunan University, China

    2 publications · 102 citations

    2

    h-index

  5. SK
    Samir Khuller

    University of Maryland, College Park, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 74

Venues

  1. Cluster Computing

    2 publications · 47 citations

    2

    h-index

  2. Information Sciences

    2 publications · 37 citations

    2

    h-index

  3. AH-Scopus to ORCID

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. File and Storage Technologies

    Conference · 1 publications · 35 citations

    1

    h-index

1–5