Game-theoretic Offloading
Game-Theoretic Offloading is an offloading framework that models decision-making among distributed computing entities as strategic interactions using game theory, distinguishing it from other offloading approaches by its formal treatment of autonomy, incentives, and equilibrium behavior in resource allocation.
151
Publications
11.5K
Citations
496
Authors
204
Institutions
Publications per year
2017–2026
102
Parents
151
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
Xu Chen, Lei Jiao, Wenzhong Li et al. · IEEE/ACM Transactions on Networking · 2015 · 2.6K citations
A Deep Reinforcement Learning Based Offloading Game in Edge Computing
Yufeng Zhan, Song Guo, Peng Li et al. · IEEE Transactions on Computers · 2020 · 217 citations
1–5 of 151
496
6
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6
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5
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Korea Advanced Institute of Science and Technology, South Korea
5 publications · 284 citations
5
h-index
4
h-index
1–5 of 496
204

Beijing University of Posts and Telecommunications
Beijing, China
11 h-index
46 publications
2.2K citations
Kyung Hee University
Seoul, South Korea
8 h-index
24 publications
746 citations

University of Waterloo
Waterloo, Canada
7 h-index
11 publications
1.2K citations
PLA Army Engineering University
Nanjing, China
7 h-index
20 publications
1.3K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
6 h-index
14 publications
978 citations
University of Houston
Houston, United States
6 h-index
9 publications
299 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
17 publications
489 citations

Sun Yat-sen University
Guangzhou, China
5 h-index
17 publications
1.6K citations
1–8 of 204
15 publications · 1.3K citations
15
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TMCCI · 13 publications · 1.3K citations
13
h-index
12 publications · 553 citations
11
h-index
11 publications · 878 citations
11
h-index
11 publications · 582 citations
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1–5