【摘要】 本文针对流媒体Cloud-P2P存储模式中的副本选择,提出一种基于蚁群算法的改进算法(replica selectionalgorithm in Cloud-P2P based on ant colony algorithm, C2P2RSA2),建立副本选择度量标准(副本节点的网络带宽、网络延时等)与蚁群信息素的映射,定义了副本信息素概率,最后得到一组副本资源的最优解.实验表明,与PARSA算法(Pheromone-base Ant colony Replica adaptive Selection Algorithm in cloud storage)和最佳副本选择算法比较,在平均访问时间增加2%–5%的情况下,本文的算法对云副本节点的负载率减少15%–25%.更多还原

【Abstract】 Replica selection algorithm for streaming media in Cloud-P2 P(C2 P2 RSA2) is proposed based on ant colony algorithm in this study. In replica selection model based on ant colony, a copy select metrics(copy node network bandwidth, network delay, etc.) is mapped by ant colony pheromone. The replica pheromone probability formula is proposed. Through constantly iterate the optimal replica resource is selected. The experimental results show the average access time of C2 P2 RSA2 is increased by 2%–5% than that of PARSA(pheromone-base ant colony replica adaptive selection algorithm in cloud storage) and best copy selection algorithm, the cloud replica node load factor of C2 P2 RSA2 is decreased by 15%–25%.更多还原