Title :
Cognitive mechanisms for providing QoS in OBS networks
Author_Institution :
Comput. Sci. Dept., Univ. of Quebec in Montreal, Montreal, QC, Canada
Abstract :
The main weakness of OBS (Optical Burst Switching) networks is the difficulty to support different types of traffic requiring several performance constraints. This paper focuses on the design and the performance evaluation of efficient cognitive OBS protocols that pave a way to the multi-service context. We present a graphical probabilistic model to avoid and resolve contention inside the OBS network. In order to efficiently exploit the available bandwidth while respecting QoS requirements, we highlight our complete framework using closed/open loop feedback control theoretic techniques to improve OBS networks performance.
Keywords :
closed loop systems; cognitive systems; graph theory; learning (artificial intelligence); open loop systems; optical burst switching; performance evaluation; probability; protocols; quality of service; telecommunication computing; telecommunication control; telecommunication network routing; OBS network; QoS; cognitive OBS protocols; cognitive mechanisms; graphical probabilistic model; graphical probabilistic routing model; multiservice context; optical burst switching network; performance evaluation; Bayesian methods; Control systems; Feedback control; Probabilistic logic; Quality of service; Routing; Sensors;
Conference_Titel :
Transparent Optical Networks (ICTON), 2011 13th International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-1-4577-0881-7
Electronic_ISBN :
2161-2056
DOI :
10.1109/ICTON.2011.5970811