A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Deep reinforcement learning (DRL), a combination of deep learning (DL) and reinforcement learning (RL), is one branch of the machine learning and has a considerable prospect in resource scheduling of Cloud ... Machine learning, a utility method to tackle problems in complex scenes, is used to resolve the resource scheduling of Cloud computing as an innovative idea in recent years. ... A novel type of machine learning policy for resource scheduling in Cloud computing is the combination of deep neural network (DNN) and reinforcement learning (RL), called deep reinforcement learning (DRL ...arXiv:2105.04086v1 fatcat:rdfwf2ltffcyxhmohf6kwtqaai
Li, M., +, TPDS July 2021 1842-1853 ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds. ... Li, X., +, TPDS July 2021 1690- 1701 The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs With Hybrid Parallelism. ... Graph coloring Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU. Zheng, Z., +, ...doi:10.1109/tpds.2021.3107121 fatcat:e7bh2xssazdrjcpgn64mqh4hb4