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
66
Eugene Shih, Paramvir Bahl, Michael J. Sinclair · 2002 · 588 citations
What is keeping my phone awake?
Abhinav Pathak, Abhilash Jindal, Yu Hu et al. · 2012 · 255 citations
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Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
896 citations

Pennsylvania State University
State College, United States
4 h-index
12 publications
783 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
1.4K citations
IBM (United States)
Armonk, United States
3 h-index
7 publications
289 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
10 publications
2.1K citations

Laboratoire d'Informatique Fondamentale de Lille
Villeneuve-d'Ascq, France
2 h-index
2 publications
40 citations
Université de Lille
Lille, France
2 h-index
2 publications
40 citations
University of California, Irvine
Irvine, United States
2 h-index
10 publications
490 citations
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ComST · 1 publications · 41 citations
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1 publications · 11 citations
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FGCS · 1 publications · 13 citations
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1 publications · 18 citations
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Conference · 1 publications · 20 citations
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