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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Frame for Selecting Replicated Multicast Servers Using Genetic Algorithm
verfasst von : Qin Liu, Chanle Wu
Erschienen in: Computational Intelligence and Security
Verlag: Springer Berlin Heidelberg
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Multicast server replication effectively utilizes the network resources and improves the performance of the clients. Selection of servers in such environments decides the quality of services. In this paper, we provide a frame to select replicated servers with genetic algorithm. A two-level coding scheme is developed to represent a server selection candidate to chromosome efficiently. In the coding process, a method based on Dijkstra’s algorithm and random disturbance is designed that ensures generating a valid multicast tree. We discuss two options of genetic operators, namely crossover and mutation only at the first level code (GA1) or two levels (GA2). GA2 offers higher heritability and locality, but it requires more techniques to guarantee the validity of offspring. Extensive simulations demonstrate that both GA1 and GA2 outperform other heuristics. Particularly, GA2 is superior to GA1 in the complex network.