Computing Offloading With Fairness Guarantee: A Deep Reinforcement Learning Method-Reference-Cited by-同舟云学术

Computing Offloading With Fairness Guarantee: A Deep Reinforcement Learning Method

Published:2023-10 Issue:10 Volume:33 Page:6117-6130
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Hao Hao¹^ORCID,Xu Changqiao²^ORCID,Zhang Wei¹^ORCID,Yang Shujie²,Muntean Gabriel-Miro³^ORCID

Affiliation:

1. Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

3. Performance Engineering Laboratory, School of Electronic Engineering, Dublin City University, Dublin 9, Ireland

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Shandong Province

Qilu University of Technology (QLU) Pilot Project of Integration of Science, Education and Production

Science Foundation Ireland (SFI)

Insight

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10269772/10065525.pdf?arnumber=10065525

Reference40 articles.

1. Mastering the game of Go with deep neural networks and tree search;david;Nature,2016

2. Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization

3. Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices

4. Edge and Central Cloud Computing: A Perfect Pairing for High Energy Efficiency and Low-Latency

5. Augmented Queue-Based Transmission and Transcoding Optimization for Livecast Services Based on Cloud-Edge-Crowd Integration

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