Battery-aware Computing

Battery-Aware Computing is a computational paradigm that belongs to the class of resource-aware computing approaches, distinguished by its explicit optimization of system behaviors and resource management decisions according to the dynamic state and constraints of battery energy storage to prolong operational lifetime in energy-constrained embedded and mobile systems.

66

Publications

3.6K

Citations

220

Authors

107

Institutions

Publications per year

2017–2026

16

Authors

220

  1. DW
    Di Wang

    Pennsylvania State University, United States

    4 publications · 261 citations

    4

    h-index

  2. AS
    Anand Sivasubramaniam

    Pennsylvania State University, United States

    4 publications · 261 citations

    4

    h-index

  3. DP
    Daniel P. Siewiorek

    Carnegie Mellon University, United States

    3 publications · 188 citations

    3

    h-index

  4. SG
    Sriram Govindan

    Pennsylvania State University, United States

    3 publications · 209 citations

    3

    h-index

  5. BU
    Bhuvan Urgaonkar

    Pennsylvania State University, United States

    3 publications · 209 citations

    3

    h-index

1–5 of 220

Venues

  1. IEEE Communications Surveys & Tutorials

    ComST · 1 publications · 41 citations

    1

    h-index

  2. 1

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 13 citations

    1

    h-index

  4. ETRI Journal

    1 publications · 18 citations

    1

    h-index

  5. Design, Automation, and Test in Europe

    Conference · 1 publications · 20 citations

    1

    h-index

1–5