A GA-Based Clustering Scheme for Overlay Multicast Topology Optimization

Jun Lu, Bing Qi
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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.
一种基于遗传算法的覆盖组播拓扑优化聚类方案
本文提出了一种基于遗传算法的拓扑聚类方案(GACluster),以提高分层叠加组播构建过程中的拓扑聚类性能。该方案首先通过归一化两个路由指标(覆盖路径延迟和覆盖节点访问带宽)构建聚类特征空间,然后实现遗传算法进行拓扑聚类操作。实验表明,与常用的HCM聚类方法相比,该方法在聚类性能和拓扑优化方面都有更好的表现。
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