Battery-aware Resource Allocation

Battery-Aware Resource Allocation is a resource management strategy that systematically optimizes the distribution of computational or network resources by explicitly accounting for the dynamic state and longevity constraints of battery power, thereby distinguishing itself from conventional allocation methods through its integration of battery discharge characteristics, degradation models, and energy sustainability objectives.

92

Publications

5.1K

Citations

289

Authors

151

Institutions

Publications per year

2017–2026

58

Authors

289

  1. AV
    Amin Vahdat

    University of California San Diego, United States

    3 publications · 442 citations

    3

    h-index

  2. CE
    Carla Ellis

    Duke University, United States

    3 publications · 442 citations

    3

    h-index

  3. CE
    C. Emre Koksal

    The Ohio State University, United States

    3 publications · 302 citations

    3

    h-index

  4. HZ
    Heng Zeng

    Duke University, United States

    3 publications · 442 citations

    3

    h-index

  5. NB
    Ness B. Shroff

    The Ohio State University, United States

    3 publications · 178 citations

    3

    h-index

1–5 of 289

Venues

  1. Journal of Energy Storage

    6 publications · 404 citations

    6

    h-index

  2. IEEE Transactions on Vehicular Technology

    4 publications · 183 citations

    4

    h-index

  3. Energy and Buildings

    3 publications · 240 citations

    3

    h-index

  4. Applied Energy

    2 publications · 117 citations

    3

    h-index

  5. Energy

    3 publications · 201 citations

    3

    h-index

1–5