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Splittable traffic partition in WDM/SONET rings to minimize SONET ADMs

机译:WDM / SONET中的可拆分流量分区环可最大程度地减少SONET ADM

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摘要

SONET ADMs are the dominant cost factor in the WDM SONET rings. Recently several articles (Belvaux et al., European J. Oper. Res. 108 (1) (1998) 26-35; Calinescu and Wan, Traffic partition in WDM SONET rings to minimize SONET ADMs, submitted for publication; Gerstel et al., Proc. IEEE INFOCOM'98, vol.1, pp.94-101; Liu et al., Proc. INFOCOM, vol. 2, 2000, pp. 1020-1025; Sutter et al., Oper. Res. 46 (5) (1998) 719-728) proposed a number of heuristics for traffic partition so as to use as few SONET ADMs as possible. Most of these heuristics assumes wavelength-continuity, i.e., the same wavelength is allocated on all of the links in the path established for a traffic stream. It was first observed and argued by Gerstel et al. that the number of ADMs can be potentially reduced by allowing a traffic stream to be locally transferred from one ADM in a wavelength to another ADM in a different wavelength at any intermediate node, in other words, the traffic streams are splittable. In this paper, we study two variations of this minimum ADM problem with splittable traffic streams; all traffic streams have prespecified routings, and all traffic streams have no prespecified routings respectively. Both variations are shown to be NP-hard. For the former variation, a heuristic with approximation ratio at most 5/4 is proposed. For the latter variation, a similar heuristic with approximation ratio 3 2 is proposed.
机译:SONET ADM是WDM SONET环中的主要成本因素。最近有几篇文章(Belvaux等人,European J. Oper。Res。108(1)(1998)26-35; Calinescu和Wan,WDM SONET中的业务分配环将SONET ADM最小化,已提交出版); Gerstel等人。 ,Proc.IEEE INFOCOM'98,第1卷,第94-101页; Liu等人,Proc.INFOCOM,第2卷,2000,第1020-1025页; Sutter等,Oper.Res.46( 5)(1998)719-728)提出了许多用于业务量划分的试探法,以便使用尽可能少的SONET ADM。这些启发式方法大多数都假设波长连续性,即在为业务流建立的路径中的所有链路上分配相同的波长。 Gerstel等人首先对此进行了观察和争论。通过允许在任何中间节点处将业务流从一个波长的一个ADM本地传输到另一个波长的另一ADM,可以潜在地减少ADM的数量,换句话说,业务流是可拆分的。在本文中,我们研究了带有可拆分流量的最小ADM问题的两个变体。所有业务流都具有预定的路由,所有业务流分别没有预定的路由。两种变体均显示为NP-hard。对于前一种变体,提出了一种近似率为5/4的启发式算法。对于后一种变化,提出了一种近似比为3 2的类似试探法。

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