Extending impairment-aware control plane solutions toward cognitive optical networks

Y. Ye, A. Francescon, E. Salvadori, M. Angelou, Ioannis Tomkos, I. de Miguel, R. Durán, J. Aguado
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引用次数: 1

Abstract

The current GMPLS control plane suffers from a lack of physical layer details, which is essential to accurately evaluate the effect of physical layer impairments (PLIs) and decide the feasibility of a lightpath. The European Union (EU) funded DICONET project extended the GMPLS protocols to carry PLI information by proposing two control plane architectures: distributed and centralized. The architectures for these two approaches have been defined, modules have been developed, and their performance has been evaluated based on emulation for various metrics. Moreover, suggestions on protocol extensions have been submitted to IETF CCAMP. On the other hand, the network evolves to be more heterogeneous in terms of not only types of services and traffic demands but also physical layers. These new challenges addressed by the EU funded project CHRON will need new architectures, the core of which is a cognitive decision system.
向认知光网络扩展损伤感知控制平面解决方案
目前的GMPLS控制平面缺乏物理层细节,这对于准确评估物理层损伤(PLIs)的影响和光路的可行性至关重要。欧盟(EU)资助的DICONET项目通过提出分布式和集中式两种控制平面架构,扩展了GMPLS协议以携带PLI信息。已经定义了这两种方法的体系结构,开发了模块,并且基于各种度量的仿真评估了它们的性能。此外,还向IETF CCAMP提交了协议扩展建议。另一方面,网络不仅在业务类型和流量需求方面,而且在物理层方面都变得更加异构。这些由欧盟资助的CHRON项目解决的新挑战将需要新的架构,其核心是认知决策系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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