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Survivability analysis of restorable SONET networks.

机译:可恢复SONET网络的生存能力分析。

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摘要

For SONET mesh networks, the restoration process plays an important role in determining the survivability. Thus, survivability evaluation of the network, with the ability to quantify the differences between restoration techniques, has become essential. In this dissertation, we first introduce a model called parametric State Reward Markov Model, SRMM/p, and propose a set of metrics in order to evaluate the survivability and performability of the restorable SONET mesh networks. We incorporate the performance level of the network into these metrics in the form of rewards that are calculated globally with topology-free approximations. Even though the metrics are closely related, they capture different aspects of the networks and could be used in a complementary way in design and deployment decisions. Further, we present a solution to the high run-time complexity of the model which is caused by the disparity between transition rates amongst various states in the SRMM/p. The solution uses the state aggregation approach and is validated by an experimental study.;The SRMM/p is equally applicable to the analysis of self-healing SONET rings by considering a ring as a special case of a mesh topology. Further, the topological uniformity and simplicity of the rings allow one to include more detailed features of the network in the model so that the analysis will be more accurate. For this purpose, we propose an improved approach to the survivability analysis of self-healing SONET rings which employs a probability-tree based evaluation of the probability of various system states resulting from all possible combinations of node and link failures. Survivability of rings with distinctive demand patterns is studied with the improved analysis and compared experimentally.;Moreover, by recognizing the incremental expansion of SONET network systems, we propose a hierarchical approach to survivability and performability analysis of large hybrid restorable SONET networks. The sensitivity analysis of the survivability and performability figures of a large hybrid SONET system is carried out through a set of experiments. As the final product of the dissertation, we introduce a stand alone easy-to-use tool namely SONSAT (SONET S&barbelow;urvivability A&barbelow;nalysis T&barbelow;ool).
机译:对于SONET网状网络,恢复过程在确定生存能力方面起着重要作用。因此,具有量化恢复技术之间差异的能力的网络生存能力评估已变得至关重要。在本文中,我们首先介绍了一个称为参数状态奖励马尔可夫模型的模型,即SRMM / p,并提出了一组度量标准,以评估可恢复SONET网状网络的生存性和性能。我们以奖励的形式将网络的性能水平纳入这些指标,这些奖励是使用无拓扑近似值进行全局计算的。即使指标密切相关,它们也可以捕获网络的不同方面,并且可以在设计和部署决策中以互补的方式使用。此外,我们提出了一种针对模型的高运行时复杂度的解决方案,该解决方案是由SRMM / p中各个状态之间的转换速率之间的差异引起的。该解决方案使用状态聚合方法并通过实验研究进行验证。SRMM / p通过将环视为网状拓扑的特例,同样适用于自愈SONET环的分析。此外,环的拓扑均匀性和简单性使人们可以在模型中包括网络的更多详细特征,从而使分析更加准确。为此,我们提出了一种用于自愈SONET环的生存能力分析的改进方法,该方法采用基于概率树的方法,对节点和链路故障的所有可能组合所导致的各种系统状态的概率进行评估。通过改进的分析方法对具有独特需求模式的环的生存能力进行了研究,并进行了实验比较。此外,通过认识SONET网络系统的增量扩展,我们提出了一种用于大型混合可恢复SONET网络的生存能力和性能分析的分层方法。大型混合SONET系统的生存能力和性能指标的敏感性分析是通过一组实验进行的。作为论文的最终产品,我们介绍了一个易于使用的独立工具,即SONSAT(SONET S,生存能力A,分析T,ool)。

著录项

  • 作者

    Cankaya, Hakki Candan.;

  • 作者单位

    Southern Methodist University.;

  • 授予单位 Southern Methodist University.;
  • 学科 Computer Science.;Statistics.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 222 p.
  • 总页数 222
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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