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Towards cost-effective service migration in mobile edge: A Q-learning approach Journal article
Journal of Parallel and Distributed Computing, 2020,Volume: 146,Page: 175-188
Authors:  Wang,Yang;  Cao,Shan;  Ren,Hongshuai;  Li,Jianjun;  Ye,Kejiang;  Xu,Chengzhong;  Chen,Xi
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Dynamic Service Migration  Mobile Edge Computing  Q-learning  Reinforcement Learning  Software-defined Networking  
SMig-RL: An evolutionary migration framework for cloud services based on deep reinforcement learning Journal article
ACM Transactions on Internet Technology, 2020,Volume: 20,Issue: 4
Authors:  Ren,Hongshuai;  Wang,Yang;  Xu,Chengzhong;  Chen,Xi
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Cloud Computing  Deep Reinforcement Learning  Dynamic Service Migration  Mobile Access  Q-learning  Rnn  
Sova: A software-defined autonomic framework for virtual network allocations Journal article
IEEE Transactions on Parallel and Distributed Systems, 2020,Volume: 32,Issue: 1,Page: 116-130
Authors:  Ye,Zhiyong;  Wang,Yang;  He,Shuibing;  Xu,Chengzhong;  Sun,Xian He
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Autonomic Computing  Dynamic Sr-iov  Mape-k Loop  Network Allocation  Software-defined Approach  Virtual Machine Migration