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Design of logical topologies: A linear formulation for wavelength routed optical networks with no wavelength changers

机译:逻辑拓扑设计:没有波长转换器的波长路由光网络的线性公式

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In this paper we present a exact linear formulation (mixed integer linear program) for designing a logical topology with no wavelength changers. Since the objective of our linear formulation is minimizing the maximum offered load on any link, which is called congestion, the resulting logical topology reflects the traffic intensities between the nodes. Our linear formulation yields a logical topology and routing and wavelength assignment for the logical links. Previously (see IEEE Journal on Selected Areas in Communications, vol.40, no.1, p.840-51, 1996) the problem of logical topology design is considered but the number of wavelengths the fiber can support is not a constraint. In this paper we take into consideration the number of wavelengths the fiber supports, the hop length of a logical link, and show the trade-offs involved in minimizing congestion. Since the whole problem is linearizable the solution obtained by relaxation of the integer constraints yields a lower bound on the congestion. This can be used to compare the efficiency of heuristic algorithms. We solve the problem exactly for a small size network and for large size networks we develop some heuristic algorithms to obtain a feasible solution using the solution obtained by relaxing the integer constraints. We introduce a cutting plane which enables us to reduce the previously obtained upper bounds on congestion. Numerical results for a six node wide area network and the National Science Foundation Network (NSFNET) are presented for various cases.
机译:在本文中,我们提出了一种精确的线性公式(混合整数线性程序),用于设计无波长转换器的逻辑拓扑。由于我们的线性公式化的目的是最大程度地减小任何链路上的最大负载(称为拥塞),因此生成的逻辑拓扑反映了节点之间的流量强度。我们的线性公式产生了逻辑拓扑,逻辑链路的路由和波长分配。以前(请参见IEEE通讯领域的期刊,第40卷,第1期,第840-51页,1996年)曾考虑过逻辑拓扑设计问题,但是光纤可以支持的波长数量并不是一个限制。在本文中,我们考虑了光纤支持的波长数,逻辑链路的跳数长度,并显示了在最小化拥塞方面的权衡取舍。由于整个问题是线性的,因此通过放宽整数约束而获得的解决方案会导致拥塞的下限。这可以用来比较启发式算法的效率。我们针对小型网络精确地解决了该问题,对于大型网络,我们开发了一些启发式算法,以使用通过放松整数约束而获得的解决方案来获得可行的解决方案。我们引入了一个切割平面,该切割平面使我们能够减少先前获得的拥塞上限。给出了针对六种情况的广域网和国家科学基金会网络(NSFNET)的数值结果。

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