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Flow Trees: A Lower Bound Computation Tool with Applications to Rearrangeable Multihop Lightwave Network Optimization

机译:流树:下界计算工具及其在可重排多跳光波网络优化中的应用

摘要

This paper presents a new method for computing the lower bounds for multihop network design problems which is particularly well suited to optical networks. More specifically, given N stations each with d transceivers and pairwise average traffic values of the stations, the method provides a lower bound for the combined problem of finding optimum (i) allocation of wavelengths to the stations to determine a configuration, and (ii) routing of the traffic on this configuration while minimizing congestion - defined as the maximum flow assigned on any link. The lower bounds can be computed in time polynomial in the network size. Consequently, the results in this work yield a tool which can be used in (i) evaluating the quality of heuristic design algorithms, and (ii) determining a termination criteria during minimization. The lower bound computation is based on first building flow trees to find a lower bound on the total flow, and then distributing the total flow over the links to minimize the congestion.
机译:本文提出了一种用于计算多跳网络设计问题下限的新方法,该方法特别适合于光网络。更具体地,给定N个站点,每个站点具有d个收发器以及站点的成对平均业务量值,该方法为找到最佳(i)对站点的波长分配以确定配置,以及(ii)的组合问题提供了下界。在此配置上路由流量,同时最大程度地减少拥塞-定义为在任何链路上分配的最大流量。可以在网络大小的时间多项式中计算下限。因此,这项工作的结果产生了一种可用于(i)评估启发式设计算法的质量,以及(ii)在最小化过程中确定终止标准的工具。下限计算基于以下内容:首先构建流量树以找到总流量的下限,然后将总流量分配到链路上以最大程度地减少拥塞。

著录项

  • 作者单位
  • 年度 1994
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"ro","name":"Romanian","id":36}
  • 中图分类

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