RETRACTED ARTICLE: Proactive Load Balancing Strategy Towards Intelligence-Enabled Software-Defined Network

[1]  Raquel Barco,et al.  Fuzzy Rule-Based Reinforcement Learning for Load Balancing Techniques in Enterprise LTE Femtocells , 2013, IEEE Transactions on Vehicular Technology.

[2]  Keqiang He,et al.  Presto: Edge-based Load Balancing for Fast Datacenter Networks , 2015, Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication.

[3]  Cheng Wang,et al.  User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach , 2017, IEEE Transactions on Intelligent Transportation Systems.

[4]  Faiza Samreen,et al.  Q-Learning Scheduler and Load Balancer for Heterogeneous Systems , 2007 .

[5]  Keqiang He,et al.  Presto: Edge-based Load Balancing for Fast Datacenter Networks , 2015, SIGCOMM.

[6]  F. Richard Yu,et al.  Load Balancing in Data Center Networks: A Survey , 2018, IEEE Communications Surveys & Tutorials.

[7]  Haifeng Lu,et al.  Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning , 2020, Future Gener. Comput. Syst..

[8]  Wai-Xi Liu,et al.  Content Popularity Prediction and Caching for ICN: A Deep Learning Approach With SDN , 2018, IEEE Access.

[9]  Raouf Boutaba,et al.  A comprehensive survey on machine learning for networking: evolution, applications and research opportunities , 2018, Journal of Internet Services and Applications.

[10]  Jian Song,et al.  SDN-Based Big Data Caching in ISP Networks , 2018, IEEE Transactions on Big Data.

[11]  Xu Ya-bin,et al.  Research on Load Balance Method in SDN , 2016 .

[12]  Jong Hyuk Park,et al.  Machine Learning-Based Network Sub-Slicing Framework in a Sustainable 5G Environment , 2020, Sustainability.

[13]  Amanpreet Kaur,et al.  Meta-Heuristics Based Load Balancing Optimization in Cloud Environment on Underflow and Overflow Conditions , 2018, J. Inf. Technol. Res..

[14]  Min Sheng,et al.  Zone-Based Load Balancing in LTE Self-Optimizing Networks: A Game-Theoretic Approach , 2014, IEEE Transactions on Vehicular Technology.

[15]  Gang Wang,et al.  MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning , 2020, Comput. Networks.

[16]  Hesham A. Ali,et al.  A load balancing and optimization strategy (LBOS) using reinforcement learning in fog computing environment , 2020, Journal of Ambient Intelligence and Humanized Computing.

[17]  Amanpreet Kaur,et al.  Load Balancing Optimization Based on Deep Learning Approach in Cloud Environment , 2020 .

[18]  Oleksandr Lemeshko,et al.  Enhanced method of fast re-routing with load balancing in software-defined networks , 2017 .

[19]  Hua Yang,et al.  Neural networks for MANET AODV: an optimization approach , 2017, Cluster Computing.

[20]  Rui Yang,et al.  Distributed machine learning load balancing strategy in cloud computing services , 2019, Wireless Networks.

[21]  Harald Haas,et al.  Optimization of Load Balancing in Hybrid LiFi/RF Networks , 2017, IEEE Transactions on Communications.

[22]  Shuguang Cui,et al.  Load Balancing for Ultradense Networks: A Deep Reinforcement Learning-Based Approach , 2019, IEEE Internet of Things Journal.

[23]  Dongbin Zhao,et al.  Self-teaching adaptive dynamic programming for Gomoku , 2012, Neurocomputing.

[24]  N. Correia,et al.  On Load Balancing via Switch Migration in Software-Defined Networking , 2019, IEEE Access.

[25]  Mohammad Dehghani Soltani,et al.  Reinforcement Learning Based Load Balancing for Hybrid LiFi WiFi Networks , 2020, IEEE Access.

[26]  Min Chen,et al.  TIDE: Time-relevant deep reinforcement learning for routing optimization , 2019, Future Gener. Comput. Syst..

[27]  Dilip Kumar Saikia,et al.  OpenFlow-Based Scalable Routing With Hybrid Addressing in Data Center Networks , 2017, IEEE Communications Letters.

[28]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[29]  Gang Li,et al.  Ant Colony Optimization Task Scheduling Algorithm for SWIM Based on Load Balancing , 2019, Future Internet.

[30]  P. Ganeshkumar,et al.  Routing using reinforcement learning in vehicular ad hoc networks , 2020, Comput. Intell..

[31]  Rajiv Ranjan,et al.  A predictive load balancing technique for software defined networked cloud services , 2018, Computing.

[32]  Hee Yong Youn,et al.  Dynamic Load Balancing of Software-Defined Networking Based on Genetic-Ant Colony Optimization , 2019, Sensors.

[33]  Amanpreet Kaur,et al.  Optimization Techniques for Resource Provisioning and Load Balancing in Cloud Environment: A Review , 2017 .

[34]  Julong Lan,et al.  DROM: Optimizing the Routing in Software-Defined Networks With Deep Reinforcement Learning , 2018, IEEE Access.

[35]  Jiafu Wan,et al.  Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory , 2018, IEEE Transactions on Industrial Informatics.