Energy-aware routing optimization in dynamic GMPLS controlled optical networks

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 sh...

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Bibliographic Details
Main Authors: Jiayuan Wang, Ricciardi, S., Fagertun, A. M., Ruepp, S., Careglio, D., Dittmann, L.
Format: Conference Proceeding
Language:English
Subjects:
Air pollution
energy-efficient
GMPLS
Green products
Heuristic algorithms
Load management
Optical fiber networks
optical networks
Optimization
re-routing
Routing
Online Access:Request full text
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Summary: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 CO 2 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 CO 2 savings is studied.
ISSN:2162-7339
DOI:10.1109/ICTON.2012.6253843