Lagrangian relaxation in the multicriterial routing

Krzysztof Stachowiak, J. Weissenberg, P. Zwierzykowski
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引用次数: 16

Abstract

Communications networks routing is not a new subject. However, with a growth of packet networks and the increase of their range and importance, the task of conveying information over the web has grown beyond its original shape and has become far more sophisticated. It is no longer computer scientists and the military that make use of the global network exclusively; it can be stated that almost every possible group from the global population has numerous representatives among Internet users. This fact is coupled with a decrease in the popularity of the original communication media such as the telephone and the e-mail. This is mainly due to them being assimilated into packet networks along with the process of network convergence. A number of different types of information streams in packet networks has been observed and classified. It turns out that careful resources management itself may lead to an increase in the information transporting efficiency. In this paper, an approach is explored - the Lagrangian relaxation - that enables incorporating multiple criteria into the routing problem solution. At the same time, the low computation complexity is maintained that enables further consideration of the technique also in practical scenarios.
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多准则路由中的拉格朗日松弛
通信网络路由并不是一门新学科。然而,随着分组网络的发展及其范围和重要性的增加,在网络上传递信息的任务已经超出了它最初的形状,变得更加复杂。不再是计算机科学家和军方独家使用全球网络;可以说,全球人口中几乎每一个可能的群体在互联网用户中都有许多代表。与此同时,电话和电子邮件等原始通信媒体的受欢迎程度也在下降。这主要是由于它们在网络的收敛过程中被同化为分组网络。在分组网络中,有许多不同类型的信息流已经被观察和分类。事实证明,精心的资源管理本身可能导致信息传递效率的提高。在本文中,我们探索了一种方法——拉格朗日松弛法——它可以将多个准则合并到路由问题的求解中。同时,保持了较低的计算复杂度,使该技术在实际场景中也能得到进一步的考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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