Title :
A modified genetic algorithm for the optimization of aggregated multicast
Author :
Wang, Hua ; Ge, Zuquan ; Chaoying Yu ; Yi, Shanwen
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan
Abstract :
The large-scale increase of multicast state is the major factor preventing the wide application of multicast when there are a large number of multicast groups in the network. As a new technology of reducing forwarding states of multicast state, aggregated multicast aims to enable the multicast groups that can be integrated in the network to share one distribution tree, which reduces the number of multicast trees, thus leading to the reduction of forwarding states and improvement of network performance. A modified genetic algorithm is proposed in this paper to optimize aggregated multicast problem. Simulation results indicate that network performance is improved greatly when applying this algorithm.
Keywords :
IP networks; computer network performance evaluation; genetic algorithms; multicast communication; telecommunication network topology; IP multicast technology; aggregated multicast problem; distribution tree; genetic algorithm; multicast trees; network performance; network topology; Application software; Bandwidth; Chaos; Computer science; Genetic algorithms; Large-scale systems; Multicast algorithms; Multicast protocols; Peer to peer computing; Streaming media; Aggregated multicast; fusion operator; genetic algorithm; minimal set cover;
Conference_Titel :
Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
Conference_Location :
Phoenix Park
Print_ISBN :
978-89-5519-138-7
Electronic_ISBN :
1738-9445