Benefits of advertising wavelength availability in distributed lightpath establishment
Computer Networks: The International Journal of Computer and Telecommunications Networking
The prediction-based routing in optical transport networks
Computer Communications
Routing and wavelength assignment in optical networks using summarized information
PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
Rule-based topology advertisement supporting generalized protection
ONDM'09 Proceedings of the 13th international conference on Optical Network Design and Modeling
Optical switching in WDM networks: architectures and algorithms
ICOIN'09 Proceedings of the 23rd international conference on Information Networking
Routing and wavelength assignment in all optical networks based on clique partitioning
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Routing and wavelength assignment in wavelength division multiplexing networks
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
Prediction-based routing as RWA in multilayer traffic engineering
Photonic Network Communications
Optical Switching and Networking
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In large networks, maintaining precise global network state information is almost impossible. Many factors, such as non-negligible propagation delay, infrequent state updates due to overhead concerns, and hierarchical topology aggregation, can affect the precision of the global network state information. In this paper, we investigate the impact of imprecise state information on the performance of dynamic routing and wavelength assignment (RWA) algorithms. We consider single fiber and multi-fiber systems and study dynamic routing with three wavelength selection schemes, namely 驴rst-驴t, random-驴t, and most-used. The results show that the precision of global network state information greatly affects the performance of the dynamic RWA schemes. In particular, some RWA algorithms that are traditionally considered as effective algorithms perform poorly in the presence of imprecise global network state information. This indicates that more practical RWA algorithms that can tolerate imprecise state information may need to be developed for large scale optical networks. The results also show that networks with wavelength conversion capability and multi-fiber systems are less sensitive to the imprecise state information.