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Energy-aware routing optimization in dynamic GMPLS controlled optical networks

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6 Author(s)
Jiayuan Wang ; Tech. Univ. of Denmark, Lyngby, Denmark ; Ricciardi, S. ; Fagertun, A.M. ; Ruepp, S.
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In this paper, routing optimizations based on energy sources are proposed in dynamic GMPLS controlled optical networks. The influences of re-routing and load balancing factors on the algorithm are evaluated, with a focus on different re-routing thresholds. Results from dynamic network simulations show that re-routing strategies can lower CO2 emissions compared to the basic energy source routing scheme, and a lower re-routing threshold achieves more savings. The increased blocking probability brought by using re-routing schemes can be compensated by applying load balancing criteria. A trade-off between blocking probability and obtained CO2 savings is studied.

Published in:

Transparent Optical Networks (ICTON), 2012 14th International Conference on

Date of Conference:

2-5 July 2012