Edge Offloading
Edge Offloading is a computational strategy in IoT edge computing that involves the selective transfer of data processing tasks from resource-constrained edge devices to more capable neighboring edge or cloud resources to optimize performance, latency, and energy consumption.
964
Publications
68.6K
Citations
3.1K
Authors
884
Institutions
Publications per year
2017–2026
952
Parents
964
Edge Computing: Vision and Challenges
Weisong Shi, Jie Cao, Quan Zhang et al. · IEEE Internet of Things Journal · 2016 · 7.9K citations
A Survey on the Edge Computing for the Internet of Things
Wei Yu, Fan Liang, Xiaofei He et al. · IEEE Access · 2017 · 1.5K citations · Full text
1–5 of 964
3.1K
Nanjing University of Information Science and Technology, China
24 publications · 2.7K citations
22
h-index
15
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14
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14
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12
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1–5 of 3.1K
884

Beijing University of Posts and Telecommunications
Beijing, China
35 h-index
168 publications
10.3K citations

Xidian University
Xi'an, China
29 h-index
71 publications
8.3K citations

Nanjing University of Information Science and Technology
Nanjing, China
27 h-index
75 publications
7K citations

Sun Yat-sen University
Guangzhou, China
20 h-index
67 publications
6.7K citations

Central South University
Changsha, China
20 h-index
61 publications
3.4K citations
Nanyang Technological University
Singapore, Singapore
19 h-index
38 publications
3.1K citations
Nanjing University
Nanjing, China
19 h-index
29 publications
2.7K citations

Shanghai Jiao Tong University
Shanghai, China
19 h-index
53 publications
3.1K citations
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88 publications · 14.9K citations
50
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40 publications · 3.1K citations
30
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52 publications · 4.4K citations
30
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35 publications · 2K citations
25
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TMCCI · 27 publications · 2.4K citations
24
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