DocumentCode :
3511011
Title :
A GA-Based Clustering Scheme for Overlay Multicast Topology Optimization
Author :
Lu, Jun ; Qi, Bing
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
fYear :
2008
fDate :
1-3 Nov. 2008
Firstpage :
243
Lastpage :
246
Abstract :
This paper proposed a topology clustering scheme based on genetic algorithm (GACluster) to improve the topology clustering performance in the course of constructing the hierarchical overlay multicast. The scheme firstly constructed the clustering feature space by normalizing the two routing metrics (overlay path delay and overlay node access bandwidth), and then implemented genetic algorithm for the topology clustering operation. The experiments illustrated, compared with the common clustering method HCM, that the proposed scheme performs better in both the clustering performance and the topology optimization.
Keywords :
genetic algorithms; multicast communication; pattern clustering; telecommunication network routing; telecommunication network topology; genetic algorithm; hierarchical overlay multicast; overlay multicast topology optimization; overlay node access bandwidth; overlay path delay; routing metrics; topology clustering scheme; Bandwidth; Bismuth; Circuit topology; Delay; Genetic algorithms; Intelligent networks; Network topology; Routing; Unicast; Web and internet services; GA Clustering; Overlay multicast; topology optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
Type :
conf
DOI :
10.1109/ICINIS.2008.112
Filename :
4683211
Link To Document :
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