Q-learning Approach for Load-balancing in Software Defined Networks

2018 Moratuwa Engineering Research Conference (MERCon) ◽

10.1109/mercon.2018.8421895 ◽

2018 ◽

Author(s):

Deepal Tennakoon ◽

Suneth Karunarathna ◽

Brian Udugama

Keyword(s):

Load Balancing ◽

Learning Approach ◽

Software Defined Networks ◽

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A Multi-State Q-Learning Approach for the Dynamic Load Balancing of Time Warp

2010 IEEE Workshop on Principles of Advanced and Distributed Simulation ◽

10.1109/pads.2010.5471661 ◽

2010 ◽

Author(s):

Sina Meraji ◽

Wei Zhang ◽

Carl Tropper

Keyword(s):

Load Balancing ◽

Dynamic Load ◽

Dynamic Load Balancing ◽

Learning Approach ◽

Time Warp ◽

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Dynamic pricing scheme for IaaS cloud platform based on load balancing: A Q-learning approach

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) ◽

10.1109/icsess.2017.8343034 ◽

2017 ◽

Author(s):

Jiali Ren ◽

Lijuan Pang ◽

Yan Cheng

Keyword(s):

Load Balancing ◽

Dynamic Pricing ◽

Learning Approach ◽

Cloud Platform ◽

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Joint optimization of energy saving and load balancing for data center networks based on software defined networks

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.6134 ◽

2020 ◽

Author(s):

Yihao He ◽

Zebin Lu ◽

Junru Lei ◽

Shuhua Deng ◽

Xieping Gao

Keyword(s):

Load Balancing ◽

Energy Saving ◽

Data Center ◽

Joint Optimization ◽

Software Defined Networks ◽

Data Center Networks

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DDQP: A Double Deep Q-Learning Approach to Online Fault-tolerant SFC Placement

IEEE Transactions on Network and Service Management ◽

10.1109/tnsm.2021.3049298 ◽

2021 ◽

pp. 1-1

Author(s):

Lei Wang ◽

Weixi Mao ◽

Jin Zhao ◽

Yuedong Xu

Keyword(s):

Fault Tolerant ◽

Learning Approach ◽

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Data-driven tracking control approach for linear systems by on-policy Q-learning approach

2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV) ◽

10.1109/icarcv50220.2020.9305479 ◽

2020 ◽

Author(s):

Zhang Yihan ◽

Xiao Zhenfei ◽

Li Jinna

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Data Driven ◽

Learning Approach ◽

Control Approach ◽

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Dynamic traffic steering based on fuzzy Q-Learning approach in a multi-RAT multi-layer wireless network

Computer Networks ◽

10.1016/j.comnet.2014.06.003 ◽

2014 ◽

Vol 71 ◽

pp. 100-116 ◽

Author(s):

P. Muñoz ◽

D. Laselva ◽

R. Barco ◽

P. Mogensen

Keyword(s):

Wireless Network ◽

Learning Approach ◽

Dynamic Traffic ◽

Traffic Steering

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Dynamic Pricing Decision for Perishable Goods: A Q-Learning Approach

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2008.2786 ◽

2008 ◽

Author(s):

Yan Cheng

Keyword(s):

Dynamic Pricing ◽

Learning Approach ◽

Perishable Goods ◽

Pricing Decision

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A Q-learning approach to automated unmanned air vehicle demining

The Journal of Defense Modeling and Simulation Applications Methodology Technology ◽

10.1177/1548512911414599 ◽

2011 ◽

Vol 9 (1) ◽

pp. 83-92 ◽

Author(s):

Silvia Ferrari ◽

Greyson Daugherty

Keyword(s):

Learning Approach ◽

Unmanned Air Vehicle ◽

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Intelligent Optimizing Scheme for Load Balancing in Software Defined Networks

2017 IEEE 85th Vehicular Technology Conference (VTC Spring) ◽

10.1109/vtcspring.2017.8108541 ◽

2017 ◽

Author(s):

Chen Yu ◽

Zhifeng Zhao ◽

Yifan Zhou ◽

Honggang Zhang

Keyword(s):

Load Balancing ◽

Software Defined Networks

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Aperiodic Sampled-Data Stabilization of Probabilistic Boolean Control Networks: Deep Q-learning Approach with Relaxed Bellman Operator

10.23919/ecc54610.2021.9655234 ◽

2021 ◽

Author(s):

Pratik Bajaria ◽

Amol Yerudkar ◽

Carmen Del Vecchio

Keyword(s):

Learning Approach ◽

Sampled Data ◽

Control Networks

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