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On Improved Modeling of Survivability-Supported Traffic Engineering in Multi-Service Networks

机译:多业务网络中支持生存性的流量工程的改进建模

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摘要

In this plenary lecture, a number of optimisation models and iterate heuristic algorithms that address the survivability-supported Traffic Engineering (TE) problem in multi-service networks for multimedia are presented. In such networks traffic demands with different Quality of Service (QoS) and survivability requirements (e.g. existence of a node disjoint backup path for each primary path) inhere. The optimisation models for engineering the QoS traffic with different survivability prerequisites and the Best-Effort (BE) traffic are based on special admission control/routing Mixed Integer Programming (MIP) and Linear Programming (LP) optimisation sub-problems, which are solved sequentially. LP relaxations of the MIP sub-problems are also provided. The iterative heuristic TE algorithms are based on a modified version of the Dijkstra's algorithm. The above methods are used for the solution of the TE problem in two different networks and their performance is compared. An integrated approach based on the aforementioned work, for prioritised 1:1/1+1 protection and restoration-supported TE in multi-service networks, in the case of single or multiple node/link failure(s), is also presented and tested.
机译:在本次全会演讲中,提出了许多优化模型和迭代启发式算法,用于解决多媒体多服务网络中可生存性支持的流量工程(TE)问题。在这样的网络中,此处具有不同服务质量(QoS)和可生存性要求(例如,节点的存在与每个主要路径不相交的备用路径)的流量需求。用于工程设计具有不同生存能力前提条件的QoS流量和尽力而为(BE)流量的优化模型基于特殊的接纳控制/路由混合整数规划(MIP)和线性规划(LP)优化子问题,这些子问题可以依次解决。还提供了MIP子问题的LP松弛。迭代启发式TE算法基于Dijkstra算法的修改版本。上述方法用于解决两个不同网络中的TE问题,并比较了它们的性能。还提出并测试了一种基于上述工作的集成方法,用于在单个或多个节点/链路故障的情况下,优先进行多业务网络中的1:1/1 + 1保护和恢复支持的TE。 。

著录项

  • 来源
  • 会议地点 Istanbul(TR)
  • 作者

    Dimitris Karras;

  • 作者单位

    Chalkis Institute of Technology Dept. Automation, Evoia, Greece;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-26 14:24:15

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