Stochastic Offloading is a task offloading paradigm that models the decision-making process as a probabilistic optimization framework in which task assignment and resource allocation are governed by stochastic policies to account for uncertainty in system dynamics, workload fluctuations, and environmental variability.
19
Publications
1.6K
Citations
81
Authors
49
Institutions
Publications per year
2017–2026
18
Parents
Publications
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1–5 of 19
Authors
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1–5 of 81
Institutions
49
University of Waterloo
Waterloo, Canada
3 h-index
3 publications
410 citations
Dalian University of Technology
Dalian, China
2 h-index
5 publications
141 citations
University of Electronic Science and Technology of China
Chengdu, China
2 h-index
4 publications
728 citations
University of Macau
Macao, Macao
2 h-index
2 publications
162 citations
Kyung Hee University
Seoul, South Korea
2 h-index
2 publications
77 citations
PLA Army Engineering University
Nanjing, China
2 h-index
4 publications
676 citations
Zhejiang University of Technology
Hangzhou, China
2 h-index
2 publications
338 citations
University of Houston
Houston, United States
2 h-index
2 publications
77 citations
1–8 of 49
Venues
- IEEE Internet of Things Journal
4 publications · 432 citations
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- IEEE Transactions on Vehicular Technology
2 publications · 191 citations
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- IEEE Transactions on Intelligent Transportation Systems
1 publications · 42 citations
1
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- China Communications
1 publications · 37 citations
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- IEEE Transactions on Communications
1 publications · 49 citations
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