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