Adaptive Data Management

Adaptive Data Management is a data management paradigm that dynamically adjusts data processing, storage, and access strategies in response to changing mobile environments, user behaviors, and network conditions to optimize performance, energy efficiency, and data consistency.

30

Publications

1.1K

Citations

94

Authors

48

Institutions

Publications per year

2017–2026

4

Authors

94

  1. ZG
    Zachary G. Ives

    University of Pennsylvania, United States

    2 publications · 71 citations

    2

    h-index

  2. AP
    Ankur Panchbudhe

    Indian Institute of Technology Bombay, India

    2 publications · 323 citations

    2

    h-index

  3. AC
    Arvola Chan

    Harvard University Press, United States

    2 publications · 134 citations

    2

    h-index

  4. PD
    Pavan Deolasee

    University of Massachusetts Amherst, United States

    2 publications · 323 citations

    2

    h-index

  5. SW
    Shiow-yang Wu

    National Dong Hwa University, Taiwan

    2 publications · 44 citations

    2

    h-index

1–5 of 94

Venues

  1. Trials

    1 publications · 59 citations

    1

    h-index

  2. International Database Engineering and Applications Symposium

    Conference · 1 publications · 11 citations

    1

    h-index

  3. IEEE Transactions on Mobile Computing

    TMCCI · 1 publications · 15 citations

    1

    h-index

  4. Knowledge-Based Systems

    1 publications · 15 citations

    1

    h-index

  5. Distributed and Parallel Databases

    1 publications · 14 citations

    1

    h-index

1–5