全光网络中网络成本最小化

Shivashis Saha, E. Manley, J. Deogun
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引用次数: 5

摘要

本文研究了通过有效地选择交换站点、光交换机和光链路的大小来最小化光网络拓扑结构的总网络成本的问题。所研究的问题是np困难的。因此,我们开发了一种有效的启发式方法来在多项式时间内近似解。给出了该问题的混合整数二次规划(MIQP)公式,用于寻找最优网络代价并计算启发式算法的效率。在实验中,启发式算法计算出的网络总成本在其最优值的19%以内。此外,一半测试问题的总网络成本在其最优值的6%以内。启发式算法在不到一秒的时间内解决了20个节点拓扑的问题。然而,商业优化软件无法在两周内解决超过10个节点的任何问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimizing network cost in all-optical networks
The problem of minimizing the total network cost of an optical network topology by efficient selection of switching sites, size of optical switches, and optical links is investigated in this paper. The problem investigated is NP—hard. Therefore, we develop an efficient heuristic to approximate the solution in polynomial time. A mixed integer quadratic programming (MIQP) formulation of the problem is also presented to find the optimal network cost and compute the efficiency of the heuristic. The total network cost calculated by the heuristic in the experiments is within 19% of its optimal value. Moreover, the total network cost in half of the test problems is within 6% of its optimal value. The heuristic solves the problem with 20 node topologies in less than a second. However, the commercial optimization software can not solve any problem with more than 10 nodes even in two weeks.
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