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Fast topological design with simulated annealing for multicast networks

机译:多播网络的模拟退火快速拓扑设计

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This paper investigates topological designs for multicast networks using simulated annealing (SA) and proposes a new method for finding an effective initial solution to the problem of reducing the computational time of SA. Multicast communications can decrease network traffic due to branch connections. Accordingly, multicast services will be predominant in future traffic. Since the characteristics of multicast communications are quite different from those of unicast communications, it is necessary to find a suitable topology for future networks that accommodates both multicast and unicast services. Finding the optimal topology is generally known as an NP-hard problem, and so heuristic algorithms have been used in many cases. This paper optimizes the multicast network topology by simulated annealing, a well-known powerful heuristic. Even if SA were employed, however, more additional inventions would be required to compute and find the solution with the smallest possible number of iterations. Therefore, this paper proposes a method for finding an effective initial solution for SA. The results show that the computational time needed to reach the final solution becomes shorter if our proposed method is applied.
机译:本文研究了使用模拟退火(SA)的多播网络的拓扑设计,并提出了一种新的方法来找到有效的初始解决方案,以减少SA的计算时间。由于分支连接,多播通信可以减少网络流量。因此,多播服务将在未来的流量中占主导地位。由于多播通信的特性与单播通信的特性完全不同,因此有必要为容纳多播和单播服务的未来网络找到合适的拓扑。寻找最佳拓扑通常被称为NP难题,因此在许多情况下都使用了启发式算法。本文通过模拟退火(一种著名的强大启发式算法)优化了多播网络拓扑。但是,即使采用SA,也将需要更多其他的发明来以最小的迭代次数来计算和找到解决方案。因此,本文提出了一种寻找SA的有效初始解的方法。结果表明,如果应用我们提出的方法,则达到最终解所需的计算时间会缩短。

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