2009 Sixth International Conference on Broadband Communications, Networks, and Systems. Broadnets 2009 (2009)
Sept. 14, 2009 to Sept. 16, 2009
Abdeltouab Belbekkouche , Network Research Laboratory, University of Montreal, Canada
Abdelhakim Hafid , Network Research Laboratory, University of Montreal, Canada
Michel Gendreau , CIRRELT, University of Montreal, Canada
Optical Burst Switching (OBS) is a promising switching paradigm for the next generation Internet. A bufferless OBS network can be implemented simply and cost-effectively without the need for either wavelength converters or optical buffers which are, currently, neither cost-effective nor technologically mature. However, this type of OBS networks suffers from relatively high loss probability caused by wavelength contentions at core nodes. This issue could prevent or, at least, delay the adoption of OBS networks as a solution for the next generation optical Internet. To enhance the performance of buffer-less OBS networks, we propose two approaches: a) a proactive multi-path approach, called Reinforcement Learning-based Alternative Routing (RLAR), that tries to prevent wavelength contentions; and b) an approach, called Integrated Reinforcement Learning-based Routing and Contention Resolution (IRLRCR) that deals with wavelength contentions proactively and reactively conjointly. We also show relative QoS differentiation capability of the proposed schemes. Simulation results show the ability of the proposed approaches to reduce loss probability and to provide Quality of Service (QoS) differentiation.
quality of service, telecommunication network routing, telecommunication switching
A. Belbekkouche, A. Hafid and M. Gendreau, "Adaptive Routing and Contention Resolution approaches for OBS networks with QoS differentiation," 2009 Sixth International Conference on Broadband Communications, Networks, and Systems. Broadnets 2009(BROADNETS), Madrid, 2009, pp. 1-8.