A Selection Model for Multicast Service Nodes Based on Hybrid Clustering

On the basis of analyzing overlay network,a source-specified multicast tree with hierarchy structure was constructed to manage the multicast service nodes based on NICE network.Based on the algorithms of K-Medoids and genetics,a hybrid K-Medoids genetic model(HKGM) was proposed to choose multicast service nodes(MSNs) from network nodes.The results show that HKGM not only avoids converging to local minimum value,but also is robust to initialization.The performances of selecting MSNs,HKGM is superior to K-Medoids,and the average convergent speed increases about 30%.