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
Parents
92
1–5 of 92
289
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 289
151
The Ohio State University
Columbus, United States
5 h-index
14 publications
1.1K citations
Ministry of Transport
Beijing, China
3 h-index
7 publications
171 citations
Duke University
Durham, United States
3 h-index
12 publications
1.8K citations
Politecnico di Torino
Turin, Italy
2 h-index
10 publications
530 citations
Middle East Technical University
Ankara, Türkiye
2 h-index
2 publications
76 citations
Argonne National Laboratory
Lemont, United States
2 h-index
5 publications
755 citations

Hefei University of Technology
Hefei, China
2 h-index
3 publications
102 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
1 publications
38 citations
1–8 of 151
6 publications · 404 citations
6
h-index
4 publications · 183 citations
4
h-index
3 publications · 240 citations
3
h-index
2 publications · 117 citations
3
h-index
3 publications · 201 citations
3
h-index
1–5