Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …
被引用次数：651 相关文章
[PDF] nsf.gov

[PDF][PDF] Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - IEEE Internet of Things …, 2018 - par.nsf.gov
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …
[PDF] auburn.edu

[PDF][PDF] Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - IEEE INTERNET OF …, 2019 - eng.auburn.edu
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …
[PDF] researchgate.net

[PDF][PDF] Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - arXiv preprint arXiv …, 2018 - researchgate.net
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …
[PDF] ieee.org

[PDF][PDF] Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji, M Bennis - ieeexplore.ieee.org
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …

[引用][C] Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - IEEE Internet of Things …, 2019 - cir.nii.ac.jp
Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via
Deep Reinforcement Learning | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ …

Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …

Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - arXiv preprint arXiv …, 2018 - arxiv.org
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …

Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - IEEE Internet of Things …, 2019 - cris.vtt.fi
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …

Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning

X Chen, H Zhang, C Wu, S Mao, Y Ji, M Bennis - 2018 - oulurepo.oulu.fi
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …