首页> 外文期刊>Optical Switching and Networking >Grade-of-service differentiated static resource allocation schemes in WDM networks
【24h】

Grade-of-service differentiated static resource allocation schemes in WDM networks

机译:WDM网络中服务等级差异化静态资源分配方案

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a study on the Grade-of-Service (GoS) differentiation of static resource allocation in lightpath routed WDM networks, where lightpath requests between node pairs are given. Each request is associated with a service grade. The goal is to maintain certain service levels for the requests of all grades. The service levels are measured in terms of their acceptance ratios. We solve this network optimization problem by adopting a penalty-based framework, in which network design and operation goals can be evaluated based on cost/revenue. We propose a static GoS differentiation model as one minimizing the total rejection and cost penalty, in which the rejection penalty reflects the revenue of accepting a request, and the cost penalty reflects the resource consumption of providing a lightpath to a request. Then, a solution based on the Lagrangian relaxation and subgradient methods is used to solve the proposed optimization problem. Three different application scenarios are presented: static GoS differentiation of requests between the same node pair, static GoS differentiation of requests between different node pairs, and an integration of static GoS differentiation into the network profit objective. The fairness issues and the impact of relative penalty factors are discussed to provide guidelines for network planning.
机译:本文对光路路由WDM网络中静态资源分配的服务等级(GoS)差异进行了研究,给出了节点对之间的光路请求。每个请求都与一个服务等级相关联。目标是为所有等级的要求维持一定的服务水平。服务水平是根据其接受率来衡量的。我们通过采用基于惩罚的框架来解决此网络优化问题,在该框架中,可以基于成本/收入来评估网络设计和运营目标。我们提出了一种静态的GoS差异化模型,该模型将总拒绝和成本损失最小化,其中拒绝损失反映了接受请求的收入,而成本损失反映了为请求提供光路的资源消耗。然后,使用基于拉格朗日松弛和次梯度方法的解决方案来解决所提出的优化问题。提出了三种不同的应用场景:同一节点对之间的请求的静态GoS区分,不同节点对之间的请求的静态GoS区分以及将静态GoS区分集成到网络利润目标中。讨论了公平问题和相关惩罚因素的影响,以为网络规划提供指导。

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