UPOA: A User Preference Based Latency and Energy Aware Intelligent Offloading Approach for Cloud-edge Systems

Author:

Yuan Jingling1,Xiang Yao1,Deng Yuhui2ORCID,Zhou Yi3,Min Geyong4ORCID

Affiliation:

1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China

2. Department of Computer Science, Jinan University, Guangzhou, China

3. TSYS School of Computer Science, Columbus State University, Columbus, U.S.

4. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LCPTCN: Lightweight Temporal Convolutional Network with Cross-Group Pruning for Dynamic Load Forecasting;2024 International Conference on Cloud and Network Computing (ICCNC);2024-05-31

2. A cloud-edge collaborative computing framework using potential games for space-air-ground integrated IoT;EURASIP Journal on Advances in Signal Processing;2024-04-20

3. Deep Reinforcement Learning for QoE-Aware Offloading in Space-Terrestrial Integrated Networks;2023 19th International Conference on Mobility, Sensing and Networking (MSN);2023-12-14

4. Optimal Task Offloading in Edge Cloud Environment;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

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