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基于蚁群算法的MPLS网络负载均衡研究

Research of Ant Colony Algorithm for Load Balancing in MPLS Networks
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摘要 在分析了常用的几种QoS保障算法基础上,给出了负载均衡模型,提出应用蚁群算法求解MPLS网络负载均衡问题。该算法融入信息素、转移概率、启发式引导函数和相似度,有效提高了搜索效率。仿真结果证明算法是有效的,显著改善了传统MPLS网络负载均衡路由算法易于导致的网络流量分布不均衡的状况。 On the analysis of several normal QoS guarantee the algorithm was given based on load balance model, this paper proposed using ant colony algorithm is proposed to solve of cluster MPLS network load balance problems. The algorithm into the element information, transfer probability calculation function, elicitation induction function and kindred degree effectively improve the searching efficiency. The simulation results prove that the algorithm is effective, and improve traditional MPLS network load balance routing algorithm is easy to cause network traffic uneven distribution of the situation.
出处 《微处理机》 2012年第6期30-32,共3页 Microprocessors
关键词 流量工程 负载均衡 多协议标签交换 蚁群算法 MPLS Traffic engineering Load balancing MPLS ant colony algorithm
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