A Routing Optimization Method for Software-Defined SGIN Based on Deep Reinforcement Learning
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Kun Li | Huachun Zhou | Zhe Tu | Guanglei Li | Qi Shen | Huachun Zhou | Kun Li | Zhe Tu | Guanglei Li | Qihui Shen
[1] Matthew Roughan,et al. Simplifying the synthesis of internet traffic matrices , 2005, CCRV.
[2] Ian F. Akyildiz,et al. QoS-Aware Adaptive Routing in Multi-layer Hierarchical Software Defined Networks: A Reinforcement Learning Approach , 2016, 2016 IEEE International Conference on Services Computing (SCC).
[3] Chuan Heng Foh,et al. Traffic Aware Inter-Layer Contact Selection for Multi-Layer Satellite Terrestrial Network , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.
[4] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[5] Xiaoning Zhang,et al. Power-Efficient Provisioning for Online Virtual Network Requests in Cloud-Based Data Centers , 2015, IEEE Systems Journal.
[6] Jean C. Walrand,et al. Knowledge-Defined Networking: Modelització de la xarxa a través de l’aprenentatge automàtic i la inferència , 2016 .
[7] Wei Li,et al. Software Defined Integrated Satellite-Terrestrial Network: A Survey , 2016, SINC.
[8] Li Xiaobo,et al. Traffic engineering framework with machine learning based meta-layer in software-defined networks , 2014, 2014 4th IEEE International Conference on Network Infrastructure and Digital Content.
[9] Jaime Lloret,et al. Including artificial intelligence in a routing protocol using Software Defined Networks , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).
[10] Shui Yu,et al. SERvICE: A Software Defined Framework for Integrated Space-Terrestrial Satellite Communication , 2018, IEEE Transactions on Mobile Computing.
[11] Weihua Zhuang,et al. Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions , 2017, IEEE Communications Magazine.
[12] Fernando M. V. Ramos,et al. Software-Defined Networking: A Comprehensive Survey , 2014, Proceedings of the IEEE.
[13] F. Richard Yu,et al. A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges , 2019, IEEE Communications Surveys & Tutorials.
[14] Albert Cabellos-Aparicio,et al. A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization , 2017, ArXiv.