【24h】

Algorithms for Fault-Tolerant Routing in Circuit Switched Networks

机译:电路交换网络中的容错路由算法

获取原文
获取原文并翻译 | 示例

摘要

In this paper we consider the k edge-disjoint paths problem (k-EDP), a generalization of the well-known edge-disjoint paths problem. Given a graph G = (V, E) and a set of terminal pairs (or requests) T, the problem is to find a maximum subset of the pairs in T for which it is possible to select paths such that each pair is connected by k edge-disjoint paths and the paths for different pairs are mutually disjoint. To the best of our knowledge, no nontrivial result is known for this problem for k > 1. To measure the performance of our algorithms we will use the recently introduced flow number F' of a graph. This parameter is known to satisfy F = O(Δα~(-1) log n), where Δ is the maximum degree and a is the edge expansion of G. We show that a simple, greedy online algorithm achieves a competitive ratio of O(k~3 · F) which naturally extends the best known bound of O(F) for k = 1 to higher k. To get this bound, we introduce a new method of converting a system of k disjoint paths into a system of k length-bounded disjoint paths. Also, an almost matching deterministic online lower bound Ω(k · F) is given. In addition, we study the k disjoint flows problem (k-DFP), which is a generalization of the well-known unsplit-table flow problem (UFP). The k-DFP is similar to the k-EDP with the difference that we now consider a graph with edge capacities and the requests can have arbitrary demands di. The aim is to find a subset of requests of maximum total demand for which it is possible to select flow paths such that all the capacity constraints are maintained and each selected request with demand di is connected by k disjoint paths, each of flow value d_i/k. The k-EDP and k-DFP problems have important applications in fault-tolerant (virtual) circuit switching which plays a key role in optical networks.
机译:在本文中,我们考虑了k条边缘不相交路径问题(k-EDP),这是众所周知的边缘不相交路径问题的推广。给定一个图G =(V,E)和一组终端对(或请求)T,问题在于找到T中对的最大子集,可以为之选择路径,使得每个对通过k条边缘不相交的路径和不同对的路径相互不相交。据我们所知,对于k> 1的问题,没有非平凡的结果是未知的。为了测量我们算法的性能,我们将使用最近引入的图的流数F'。已知此参数满足F = O(Δα〜(-1)log n),其中Δ是G的最大程度,a是G的边扩展。我们证明了一种简单的贪心在线算法可实现O的竞争比(k〜3·F)可以自然地将k = 1的O(F)的最著名范围扩展到更高的k。为了达到这个界限,我们引入了一种将k条不相交路径的系统转换为k条长度受限的不相交路径的系统的新方法。此外,给出了几乎匹配的确定性在线下界Ω(k·F)。另外,我们研究了k不相交流动问题(k-DFP),它是众所周知的不分裂表流动问题(UFP)的概括。 k-DFP与k-EDP相似,不同之处在于,我们现在考虑具有边缘容量的图,并且请求可以具有任意需求di。目的是找到最大总需求的请求子集,可以为该子集选择流路径,以保持所有容量约束,并且每个具有需求di的选定请求都由k条不相交的路径连接,每个流值d_i / k。 k-EDP和k-DFP问题在容错(虚拟)电路交换中有着重要的应用,而容错在虚拟网络中起着关键作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号