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QoT-aware elastic bandwidth allocation and spare capacity assignment in flexible island-based optical transport networks under shared risk link group constraints

机译:在共享风险链路组约束下,基于岛的灵活光传输网络中的QoT感知弹性带宽分配和备用容量分配

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This paper focuses on the problem of provisioning multi-granularity static lightpath connections with fault-tolerant requirements in survivable island-based translucent optical networks with traffic grooming capabilities. The problem is tackled for the first time, to the best of our knowledge, taking into account both Quality of Transmission (QoT) and Shared Risk Link Group (SRLG) constraints. A two phase heuristic algorithm is proposed relying on a novel generic purpose-built auxiliary graph model that may support various factors of network heterogeneity (i.e., network nodes with different wavelength-conversion, regeneration and traffic grooming capabilities), and represent numerous network constraints related mainly to QoT requirements and network-resources. The purpose of the proposed heuristic is to optimize the utilisation of the available network resources and hence the network throughput through the simultaneous use of traffic grooming and two resource sharing techniques namely the Generalized Backup Backup multiplexing (GBBM) and the Generalized Adaptive Primary-Backup Multiplexing (GAPBM) which are combined for the first time, as far as we know, under a static traffic scenario, and performed in such a way that 100% QoT-aware SRLG-fault recoverability is still guaranteed for all serviced lightpath requests. The performances of the proposed solution are demonstrated through multiple simulation experiments conducted on different network topologies. (C) 2017 Elsevier B.V. All rights reserved.
机译:本文关注于在具有流量疏导功能的可生存的基于岛的半透明光网络中提供具有容错要求的多粒度静态光路连接的问题。据我们所知,这是首次解决此问题,同时考虑了传输质量(QoT)和共享风险链接组(SRLG)的限制。提出了一种基于新型通用目的辅助图模型的两阶段启发式算法,该模型可以支持网络异质性的各种因素(即具有不同波长转换,再生和流量疏导能力的网络节点),并代表众多与网络相关的约束主要针对QoT要求和网络资源。提议的启发式方法的目的是通过同时使用流量修饰和两种资源共享技术(即通用备份备份多路复用(GBBM)和通用自适应主备用多路复用)来优化可用网络资源的利用率,从而优化网络吞吐量。据我们所知,它是在静态流量情况下首次组合的(GAPBM),其执行方式可确保为所有服务的光路径请求提供100%QoT感知的SRLG故障恢复能力。通过在不同网络拓扑上进行的多个仿真实验证明了所提出解决方案的性能。 (C)2017 Elsevier B.V.保留所有权利。

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