Edge Traffic Offloading
Edge Traffic Offloading is a cloud traffic engineering mechanism that selectively redirects computational tasks or data flows from centralized cloud environments to edge computing nodes to reduce latency, optimize bandwidth utilization, and enhance service responsiveness by leveraging the geographical proximity and distributed resources of the network edge.
24
Publications
1.3K
Citations
108
Authors
56
Institutions
Publications per year
2017–2026
23
Parents
24
Label-less Learning for Traffic Control in an Edge Network
Min Chen, Yixue Hao, Kai Lin et al. · IEEE Network · 2018 · 121 citations
1–5 of 24
108
2
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United States Air Force Research Laboratory, United States
1 publications · 20 citations
2
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2
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2
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2
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1–5 of 108
56

The University of Sydney
Sydney, Australia
2 h-index
4 publications
169 citations

Carleton University
Ottawa, Canada
2 h-index
2 publications
397 citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
2 h-index
1 publications
20 citations
Dalian University of Technology
Dalian, China
2 h-index
3 publications
841 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
5 publications
569 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
8 publications
413 citations
University of Chile
Santiago, Chile
1 h-index
1 publications
20 citations

Peoples' Friendship University of Russia
Moscow, Russia
1 h-index
3 publications
435 citations
1–8 of 56
TMCCI · 2 publications · 102 citations
3
h-index
3 publications · 171 citations
3
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2 publications · 33 citations
2
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MONET · 2 publications · 36 citations
2
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1 publications · 22 citations
1
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1–5