Edge Resource Allocation Optimization
Edge Resource Allocation Optimization is a computational framework that determines the most efficient distribution of limited computing resources at the network edge by jointly considering latency, bandwidth, energy consumption, and service demand to enhance overall system performance and resource utilization.
123
Publications
6.3K
Citations
455
Authors
221
Institutions
Publications per year
2017–2026
122
Parents
123
1–5 of 123
455
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1–5 of 455
221
Kyung Hee University
Seoul, South Korea
7 h-index
10 publications
703 citations

Beijing University of Posts and Telecommunications
Beijing, China
6 h-index
20 publications
802 citations

Xidian University
Xi'an, China
5 h-index
10 publications
1.1K citations
Tsinghua University
Beijing, China
5 h-index
14 publications
1.2K citations
Nanyang Technological University
Singapore, Singapore
5 h-index
15 publications
871 citations

Hunan University
Changsha, China
4 h-index
10 publications
538 citations
Swinburne University of Technology
Melbourne, Australia
4 h-index
9 publications
809 citations

Carleton University
Ottawa, Canada
4 h-index
7 publications
283 citations
1–8 of 221
9 publications · 449 citations
9
h-index
9 publications · 441 citations
9
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FGCS · 8 publications · 525 citations
8
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5 publications · 730 citations
5
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4 publications · 117 citations
4
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1–5