Traffic Prediction based Multi-Stage Virtual Topology Reconfiguration Policy in Multi-wavelength Routed Optical Networks 


Vol. 27,  No. 8, pp. 729-740, Aug.  2002


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  Abstract

This paper studies the issues arising in the virtual topology reconfiguration phase of Multi-wavelength Routed Optical Networks. This reconfiguration process means to change the virtual topology in response to the changing traffic patterns in the higher layer. We formulate the optimal reconfiguration policy as a multi-stage decision-making problem to maximize the expected reward and cost function over an infinite horizon. Then we propose a new heuristic algorithm based on node-exchange to reconfigure the virtual topology to meet the traffic requirement. To counter the continual approximation problem brought by heuristic approach, we take the traffic prediction into consideration. We further propose a new heuristic reconfiguration algorithm called Prediction based Multi-stage Reconfiguration approach to realize the optimal reconfiguration policy based on predicted traffic. Simulation results show that our reconfiguration policy significantly outperforms the conventional one, while the required physical resources are limited.

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  Cite this article

[IEEE Style]

L. Zhang, K. Lee, C. Youn, E. B. Shim, "Traffic Prediction based Multi-Stage Virtual Topology Reconfiguration Policy in Multi-wavelength Routed Optical Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 8, pp. 729-740, 2002. DOI: .

[ACM Style]

Lin Zhang, Kyung-hee Lee, Chan-Hyun Youn, and Eun Bo Shim. 2002. Traffic Prediction based Multi-Stage Virtual Topology Reconfiguration Policy in Multi-wavelength Routed Optical Networks. The Journal of Korean Institute of Communications and Information Sciences, 27, 8, (2002), 729-740. DOI: .

[KICS Style]

Lin Zhang, Kyung-hee Lee, Chan-Hyun Youn, Eun Bo Shim, "Traffic Prediction based Multi-Stage Virtual Topology Reconfiguration Policy in Multi-wavelength Routed Optical Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 8, pp. 729-740, 8. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880