Title :
An Ant Colony Algorithm for Aggregated Multicast Based on Clustering
Author :
Shanwen Yi ; Hua Wang ; Rui Zhang
Author_Institution :
Dept. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Abstract :
IP multicast faces a serious state scalability problem when there are large numbers of groups in the network. Aggregated Multicast has been proposed as a novel solution to solve this problem, in which multiple groups shared one aggregated tree, so as to reduce the multicast forwarding states. In this paper, we propose a Ant Colony Optimization Algorithm for Aggregated Multicast on Clustering to solve the problem that the time complexity of traditional aggregated multicast algorithm increases exponentially. Simulation results show that our algorithm performs well in program execution time and aggregation degree.
Keywords :
IP networks; ant colony optimisation; computational complexity; multicast communication; pattern clustering; IP multicast; aggregated tree; ant colony algorithm; clustering-based aggregated multicast; multicast forwarding states; program execution time; serious state scalability problem; time complexity; Algorithm design and analysis; Ant colony optimization; Bandwidth; Clustering algorithms; Genetic algorithms; Network topology; Optimization; aggregated multicast; ant colony optimization; constrained clustering; similar degree;
Conference_Titel :
High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2164-8
DOI :
10.1109/HPCC.2012.132