3 Papers
Bin Wang is an academic researcher from South China University of Technology. The author has contributed to research in topics: Scheduling (computing) & Virtual machine. The author has an hindex of 2, co-authored 3 publications.
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Papers
Energy-efficient VM scheduling based on deep reinforcement learning
Bin Wang,Fagui Liu,Weiwei Lin +2 more
TL;DR: Wang et al. as mentioned in this paper proposed a deep reinforcement learning model based on QoS feature learning to optimize data center resource scheduling, which can effectively reduce the energy consumption of cloud data centers while maintaining the lowest SLA violation rate.
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A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center
TL;DR: A lower complexity multi-population ant colony system algorithm with the Extreme Learning Machine (ELM) prediction ( ELM_MPACS) that reduces energy consumption, migration times and SLA violations effectively.
Energy-efficient collaborative optimization for VM scheduling in cloud computing
TL;DR: Based on the Lyapunov optimization method, the optimization problem can be solved explicitly in each time slice as mentioned in this paper, which can effectively reduce the energy consumption of the cloud data center while guaranteeing QoS, and reduce the total scheduling time cost of data center by more than 20%.
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