ABNO's OAM Handler is extended with big data analytics capabilities to anticipate traffic changes in volume and direction. Predicted traffic is used to trigger virtual network topology re-optimization. When the virtual topology needs to be reconfigured, predicted and current traffic matrices are used to find the optimal topology. A heuristic algorithm to adapt current virtual topology to meet both actual demands and expected traffic matrix is proposed. Experimental assessment is carried out on UPC's SYNERGY testbed. ; Peer Reviewed ; Postprint (published version)
Big data analytics for the virtual network topology reconfiguration use case
2016-01-01
Sonstige
Elektronische Ressource
Englisch
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica , Optical communications , Fiber optic networks , Heuristic algorithms , Matrix algebra , Optimization , Reconfigurable hardware , Telecommunication traffic , Topology , Transparent optical networks , ABNO , Data analytics , Experimental assessment , Optimal topologies , Traffic monitoring , Virtual network topology , Virtual topologies , VNT reconfiguration , Comunicacions òptiques
DDC: | 629 |
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