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A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling 期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 3, 页码: 422-432
作者:  Cheng, Long;  Wang, Yue;  Cheng, Feng;  Liu, Cheng;  Zhao, Zhiming;  Wang, Ying
收藏  |  浏览/下载:6/0  |  提交时间:2024/12/06
Cloud computing  Processor scheduling  Real-time systems  Costs  Quality of service  Time factors  Dynamic scheduling  DRL  job scheduling  preemptive mechanism  optimization  
Deep Reinforcement Learning for RIS-Aided Secure Mobile Edge Computing in Industrial Internet of Things 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 卷号: 20, 期号: 2, 页码: 2455-2464
作者:  Xu, Jianpeng;  Xu, Aoshuo;  Chen, Liangyu;  Chen, Yali;  Liang, Xiaolin;  Ai, Bo
收藏  |  浏览/下载:6/0  |  提交时间:2024/12/06
Industrial Internet of Things  Resource management  Task analysis  Wireless communication  Power control  Energy consumption  Mathematical models  Deep reinforcement learning (DRL)  industrial Internet of things (IIoT)  mobile edge computing (MEC)  reconfigurable intelligent surface (RIS)  secure offloading