Mix-flow scheduling using deep reinforcement learning for software-defined data-center networks

Author:

Liu Wai-Xi1,Cai Jun2,Wang Yu3,Chen Qing C.3,Tang Dong3

Affiliation:

1. Department of Electronic and Information Engineering; Guang Zhou University; Guangzhou P. R. China

2. Guangdong Polytechnic Normal University; Guangzhou P. R. China

3. Guang Zhou University; Guangzhou P. R. China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Science and Technology Project of Guangdong Province

Innovative Team Project of Guangdong Universities

Innovative Academic Team Project of Guangzhou Education System

Publisher

Wiley

Subject

General Medicine

Reference20 articles.

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Scheduling optimization Mechanism Combining Q-learning and Genetic Algorithm;2023 19th International Conference on Mobility, Sensing and Networking (MSN);2023-12-14

2. Inventory Big Data Management for Internet of Things based on Privacy Preserving;2023 IEEE 9th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS);2023-05

3. Machine Learning Empowered Intelligent Data Center Networking;Machine Learning Empowered Intelligent Data Center Networking;2022-10-25

4. Intelligent routing using convolutional neural network in software-defined data center network;The Journal of Supercomputing;2022-03-18

5. DeepRLB: A deep reinforcement learning‐based load balancing in data center networks;International Journal of Communication Systems;2021-08-03

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