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An efficient ant colony algorithm for QoS anycast routing

机译:一种高效的蚁群算法,用于QoS yourcast路由

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摘要

Anycast communication is a new Internet service defined in IPv6, and it can make a host communication with the one ldquonearestrdquo member in a group of servers. The anycast routing problem with multiple QoS constrained is known to be NP-complete problem and we can't get satisfying results when using the precise method in polynomial time. In this paper, a QoS anycast routing algorithm based on ant colony algorithm is proposed. In order to search a reasonable anycast routing path, a felicitous estimate method of the optimization path is designed and the load balance is considered. By adjusting the pheromone in the iteration-best path and re-initializing the algorithm, this algorithm can efficiently avoid falling into local optimal path and enlarge global searching. The experimental results show that this algorithm can effectively find the global-best solution that satisfied the QoS constraint and balance the load of networks, and has better performance and efficiency.
机译:Anycast通信是IPv6中定义的新Internet服务,它可以在一组服务器中与一个LdquoneareStrdQuo成员进行主机通信。已知多个QoS约束的任播路由问题是NP完全的问题,并且在多项式时间中使用精确方法时,我们无法获得满足结果。本文提出了一种基于蚁群算法的QoS任播路由算法。为了搜索合理的任播路径路径,设计了优化路径的富有估计方法,并且考虑了负载平衡。通过调整迭代 - 最佳路径中的信息素并重新初始化算法,该算法可以有效地避免落入本地最佳路径并放大全球搜索。实验结果表明,该算法可以有效地找到满足QoS约束和平衡网络负荷的全局最佳解决方案,具有更好的性能和效率。

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