Edge Computing Performance
Edge Computing Performance is a distributed systems performance metric that quantifies the efficiency, latency, and resource utilization of computational tasks executed at the network edge, distinguished by its focus on localized data processing proximity to end-user devices and IoT sources.
74
Publications
2.6K
Citations
304
Authors
114
Institutions
Publications per year
2017–2026
64
74
Quantifying the Impact of Edge Computing on Mobile Applications
Wenlu Hu, Ying Gao, KiRyong Ha et al. · 2016 · 160 citations · Full text
Long Lu, Vinod Yegneswaran, Phillip Porras et al. · 2010 · 144 citations
Mengwei Xu, Zhe Fu, Xiao Ma et al. · 2021 · 106 citations
Miguel Arias Guillén, Antonio Llanes, Baldomero Imbernón et al. · The Journal of Supercomputing · 2020 · 102 citations · Full text
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114
Intel (United States)
Santa Clara, United States
4 h-index
10 publications
350 citations
Tsinghua University
Beijing, China
4 h-index
8 publications
235 citations

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
19 publications
929 citations
Sun Moon University
Asan, South Korea
3 h-index
7 publications
234 citations
National University of Singapore
Singapore, Singapore
2 h-index
5 publications
153 citations
Swinburne University of Technology
Melbourne, Australia
2 h-index
3 publications
116 citations

Indian Institute of Science Bangalore
Bengaluru, India
2 h-index
6 publications
135 citations
Aalto University
Espoo, Finland
2 h-index
2 publications
49 citations
1–8 of 114
Repository · 4 publications · 83 citations
4
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3 publications · 63 citations
3
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2 publications · 122 citations
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TMCCI · 2 publications · 66 citations
2
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2 publications · 114 citations
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