While network clustering is traditionally accomplished just relying on the topology of the network, the new traffic-aware clustering approach employs traffic matrices to take into account the intensity of the relationship between nodes. In the context of traffic-aware clustering we propose a new Evolutionary Clustering algorithm and compare it with the Spectral Filtering algorithm. We compare them using both the Modularity and the Traffic-aware Scaled Coverage metrics, and two real-world datasets, each made of 1000 traffic matrices, respectively from Abilene and Géant networks. Our experiments show that Evolutionary Clustering performs better on all traffic matrices, excepting a minor number of traffic matrices in the Abilene network when the Modularity metric is employed.
An Evolutionary Algorithm for Network Clustering through Traffic Matrices / S., Salcedo Sanz; M., Naldi; L., Carro Calvo; Laura, Luigi; A., Portilla Figueras; G. F., Italiano. - STAMPA. - (2011), pp. 1580-1584. (Intervento presentato al convegno IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference tenutosi a Instanbul, Turkey nel 4-8 July, 2011.) [10.1109/IWCMC.2011.5982607].
An Evolutionary Algorithm for Network Clustering through Traffic Matrices.
LAURA, Luigi;
2011
Abstract
While network clustering is traditionally accomplished just relying on the topology of the network, the new traffic-aware clustering approach employs traffic matrices to take into account the intensity of the relationship between nodes. In the context of traffic-aware clustering we propose a new Evolutionary Clustering algorithm and compare it with the Spectral Filtering algorithm. We compare them using both the Modularity and the Traffic-aware Scaled Coverage metrics, and two real-world datasets, each made of 1000 traffic matrices, respectively from Abilene and Géant networks. Our experiments show that Evolutionary Clustering performs better on all traffic matrices, excepting a minor number of traffic matrices in the Abilene network when the Modularity metric is employed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.