Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling

Although cloud computing is one of the promising technologies for online business services, how to schedule real-time cloud jobs with high quality of service (QoS) is still challenging current techniques. With the advancing of machine learning, deep reinforcement learning (DRL) has demonstrated its...

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Veröffentlicht in:	IEEE systems journal 2022-09, Vol.16 (3), p.4232-4242
Hauptverfasser:	Huang, Yifeng, Cheng, Long, Xue, Lianting, Liu, Cong, Li, Yuancheng, Li, Jianbin, Ward, Tomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Adversarial imitation learning Cloud computing Deep learning deep reinforcement learning (DRL) job scheduling Machine learning Processor scheduling Quality of service quality of service (QoS) Real time real-time jobs Real-time systems Response time Scheduling Training Trajectory
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