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Reinforcement Learning Based Path Selection and Wavelength Selection in Optical Burst Switc
Reinforcement Learning Based Path Selection and Wavelength Selection in Optical Burst Switched Networks Y V Kiran, T Venkatesh, and C Siva Ram Murthy Department of Computer Science Indian Institute of Technology Madras Chennai, India. Presenter : B. Venkata Ramana BROADNETS 2006 (San Jose, USA) IIT Madras October 5, 2006 1 / 27 Outline 1 Introduction to OBS Networks 2 Motivation 3 Reinforcement Learning Q-Learning Algorithm 4 Path Selection in OBS networks Q-learning algorithm for Path Selection(QPS) Simulation Results 5 Wavelength Selection in OBS networks Q-learning algorithm for Wavelength Selection(QWS) Simulation Results 6 Summary and Future Directions BROADNETS 2006 (San Jose, USA) IIT Madras October 5, 2006 2 / 27 Outline 1 Introduction to OBS Networks 2 Motivation 3 Reinforcement Learning Q-Learning Algorithm 4 Path Selection in OBS networks Q-learning algorithm for Path Selection(QPS) Simulation Results 5 Wavelength Selection in OBS networks Q-learning algorithm for Wavelength Selection(QWS) Simulation Results 6 Summary and Future Directions BROADNETS 2006 (San Jose, USA) IIT Madras October 5, 2006 2 / 27 Outline 1 Introduction to OBS Networks 2 Motivation 3 Reinforcement Learning Q-Learning Algorithm 4 Path Selection in OBS networks Q-learning algorithm for Path Selection(QPS) Simulation Results 5 Wavelength Selection in OBS networks Q-learning algorithm for Wavelength Selection(QWS) Simulation Results 6 Summary and Future Directions BROADNETS 2006 (San Jose, USA) IIT Madras October 5, 2006 2 / 27 Outline 1 Introduction to OBS Networks 2 Motivation 3 Reinforcement Learning Q-Learning Algorithm 4 Path Selection in OBS networks Q-learning algorithm for Path Selection(QPS) Simulation Results 5 Wavelength Selection in OBS networks Q-learning algorithm for Wavelength Selection(QWS) Simulation Results 6 Summary and Future Directions BROADNETS 2006 (San Jose, USA) IIT Madras October 5, 2006 2 / 27 Outline 1 Introduction to OBS Networks 2 Motivation 3 Reinforcemen
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