一种支持区分业务的智能光网络RWA方法

A differentiated service-supporting RWA approach in intelligent optical networks

针对差异化的用户QoS(服务质量)需求,提供支持区分业务的RWA(路由和波长分配)算法是光网络当前研究的重点。文章提出了一种改进的支持区分服务的智能光网络GWAS(分组波长分配策略),针对不同等级的业务采用动态可调整的波长分组方案以实现差异化QoS。仿真结果表明,GWAS方案可以保证高优业务比低优业务具有更好的性能:在每根光纤复用9波长和160波长情况下,Mesh与NSFNET网络中高优业务比低优业务的阻塞率在相同业务负荷下最大降低24%与18%和15%与10%。

In face to the QoS requirements of differentiated users, Routing and Wavelength Assignment （RWA） algorithm for supporting differentiated services is a current focus of study. This paper proposes an improved Grouped Wavelength Assign- ment Strategy （GWAS） for differentiated service-supporting intelligent optical networks, which introduces dynamically adjust- able wavelength grouping schemes to achieve differentiated QoS for different levels of services. Simulation results show that the proposed strategy can ensure higher-priority services better performances than lower-priority services. Specifically, with the same service load, the traffic blocking rates of higher-priority services in Mesh and NSFNET networks are reduced by 24% and 18% at the maximum when signals at 9 wavelengths are multiplexed in each fiber and by 15% and 10% when signals at 160 wavelengths multiplexed in each fiber respectively.