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DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters Journal article
Bai, Haoyu, Xu, Minxian, Ye, Kejiang, Buyya, Rajkumar, Xu, Chengzhong. DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters[J]. IEEE TRANSACTIONS ON SERVICE COMPUTING, 2024, 1-12.
Authors:  Bai, Haoyu;  Xu, Minxian;  Ye, Kejiang;  Buyya, Rajkumar;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.5/5.9 | Submit date：2024/08/05
Cloud Computing  Distributed Resources Management  Reinforcement Learning  Kubernetes  Microservice  
AI-assisted Action in Edge Computing System: A Joint Latency and Accuracy Oriented Approach Conference paper
Tan Pengcheng, Dai Minghui, Du Zhuohang, Wu Yuan, Qian Liping, Su Zhou, Shi Zhiguo. AI-assisted Action in Edge Computing System: A Joint Latency and Accuracy Oriented Approach[C], 2023.
Authors:  Tan Pengcheng;  Dai Minghui;  Du Zhuohang;  Wu Yuan;  Qian Liping; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/02/22
Computing Resources Scheduling  Edge Computing  Human Pose Estimation  Task Scheduling  
Dynamic Task Division and Allocation in Mobile Edge Computing Systems: A Latency Oriented Approach via Deep Q-Learning Network Conference paper
Tan Pengcheng, Li Yang, Dai Minghui, Wu Yuan. Dynamic Task Division and Allocation in Mobile Edge Computing Systems: A Latency Oriented Approach via Deep Q-Learning Network[C], 2022, 252 - 259.
Authors:  Tan Pengcheng;  Li Yang;  Dai Minghui;  Wu Yuan
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/08/19
Computing Resources  Deep Learning  Edge Intelligence  Task Division  Task Execution Time