Edge Computing Optimization
Edge Computing Optimization is a performance optimization strategy that minimizes latency, bandwidth usage, and computational overhead by processing data closer to the data source through the strategic placement and management of computational resources at the network edge.
319
Publications
14.7K
Citations
1.1K
Authors
410
Institutions
Publications per year
2017–2026
313
Parents
319
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng et al. · IEEE Journal of Selected Topics in Signal Processing · 2023 · 589 citations
A Survey on Edge Computing Systems and Tools
Fang Liu, Guoming Tang, Youhuizi Li et al. · Proceedings of the IEEE · 2019 · 325 citations · Full text
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410

Beijing University of Posts and Telecommunications
Beijing, China
12 h-index
34 publications
1.4K citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
26 publications
979 citations

Huazhong University of Science and Technology
Wuhan, China
11 h-index
20 publications
1.5K citations

Xidian University
Xi'an, China
10 h-index
21 publications
1.3K citations
Swinburne University of Technology
Melbourne, Australia
10 h-index
15 publications
959 citations

Deakin University
Burwood, Australia
9 h-index
22 publications
1.9K citations

Carleton University
Ottawa, Canada
8 h-index
8 publications
458 citations
Peng Cheng Laboratory
Shenzhen, China
8 h-index
12 publications
435 citations
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17 publications · 724 citations
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15 publications · 1.1K citations
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13 publications · 1.3K citations
14
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9 publications · 366 citations
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TMCCI · 6 publications · 416 citations
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