Scalable Data Storage

Scalable Data Storage is a data storage architecture that supports proportional growth in capacity and throughput by adding or reallocating resources without significant redesign or service interruption, thereby accommodating increasing data volumes and access loads in big data environments.

1K

Publications

70.7K

Citations

3.7K

Authors

843

Institutions

Publications per year

2017–2026

298

Authors

3.7K

  1. HJ
    Hong Jiang

    University of Nebraska–Lincoln, United States

    13 publications · 425 citations

    12

    h-index

  2. DF
    Dan Feng

    Huazhong University of Science and Technology, China

    10 publications · 378 citations

    10

    h-index

  3. GA
    Garth A. Gibson

    Carnegie Mellon University, United States

    10 publications · 788 citations

    10

    h-index

  4. WL
    Witold Litwin

    Université Paris Dauphine-PSL, France

    10 publications · 809 citations

    10

    h-index

  5. WZ
    Weimin Zheng

    Tsinghua University, China

    9 publications · 217 citations

    9

    h-index

1–5 of 3.7K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 48 publications · 4.1K citations

    28

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 15 publications · 375 citations

    14

    h-index

  3. IEEE Transactions on Computers

    13 publications · 604 citations

    12

    h-index

  4. ACM SIGMOD Record

    11 publications · 2K citations

    11

    h-index

  5. Journal of Physics Conference Series

    14 publications · 378 citations

    11

    h-index

1–5