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On Achieveing Bandwidth-Aware LSP//spl lambda/SP Multiplexing/Separation in Multi-layer Networks

机译:在多层网络中实现带宽感知的LSP // spl lambda / SP复用/分离

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We present a new traffic engineering (TE) model which is based on QoS rerouting and uses hybrid resilience to improve the recovery performance of multi-layer networks where an MPLS network is layered above an MPlambdaS network. We formulate the rerouting of the LSPs/lambdaSPs as a multi-constrained problem and use its polynomial reduction to find a heuristic solution that can be implemented by standardized constraint-based routing algorithms. This heuristic solution uses a cost-based routing optimization to achieve different network configurations which multiplex/separate bandwidth-aware LSPs/lambdaSPs on the network links. We formulate the resilience upon failure as a multi-objective problem consisting of finding a resilience strategy that minimizes recovery operation time and maximizes the LSP/lambdaSP restorability. A solution to this problem is proposed where a hybrid resilience framework is used to achieve restoration in the MPLS layer to complement path switching in the MPlambdaS layer. We evaluate the performance of the TE model when rerouting the tunnels carrying the traffic offered to a 23- and 31-node networks. Simulation reveals that the hybrid resilience model performs better than classical recovery mechanisms. In terms of restorability, quality of rerouting paths and rerouting stability
机译:我们提出了一种新的流量工程(TE)模型,该模型基于QoS重路由,并使用混合弹性来提高MPLS网络位于MPlambdaS网络上方的多层网络的恢复性能。我们将LSP / lambdaSP的重新路由公式化为一个多约束问题,并使用其多项式约简来找到可以通过基于标准约束的路由算法实现的启发式解决方案。这种启发式解决方案使用基于成本的路由优化来实现不同的网络配置,这些配置在网络链路上多路复用/分离带宽感知的LSP / lambdaSP。我们将故障时的恢复能力公式化为一个多目标问题,其中包括找到一种恢复策略,该策略可最大程度地减少恢复操作时间并最大化LSP / lambdaSP的可恢复性。提出了针对该问题的解决方案,其中使用混合弹性框架在MPLS层中实现恢复,以补充MPlambdaS层中的路径切换。当重新路由承载提供给23节点和31节点网络的流量的隧道时,我们评估TE模型的性能。仿真表明,混合弹性模型的性能优于经典恢复机制。在可恢复性,重路由路径的质量和重路由稳定性方面

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