弹性光网络分层流量疏导优化方法(特邀)

Stratification Traffic Grooming Methods in Elastic Optical Networks

【目的】随着云计算、大数据和数据中心(DC)等技术的迅猛进步,DC的规模与数量正在持续扩张和增长,网络的带宽资源和能耗也在急速增长。如何有效减少网络带宽资源与能耗受到广泛关注。文章旨在减少网络能耗和提高网络频谱资源利用效率。【方法】考虑工作网络能耗元件特点、频谱资源分配方式和不同调制格式选择,文章采用自适应流量疏导方法和频谱分层方式,提出了弹性光网络的距离自适应分层流量疏导方法(DSGM),把频谱资源划分成不同频谱层进行网络流量疏导。一方面,根据距离自适应调制方法选择不同频谱效率的调制格式;另一方面,根据频谱分层流量疏导方式,对每一条光纤的空闲频谱资源按不同速率的光通道进行分层,通过光纤链路剩余带宽资源,来选择合适的光通道进行流量疏导,优化频谱资源的使用。为了方便比较,文章引入了频谱分层流量疏导方法(SSGM)、传统流量疏导方法(TTGM)和没有流量疏导的传统方法(TMWG)。【结果】仿真结果表明,与SSGM、TTGM和TWGM相比,文章所提DSGM能明显降低弹性光网络能耗,减少网络的阻塞率,提高资源利用效率。【结论】通过文章所提弹性光网络分层流量疏导优化方法,实现了网络能耗与频谱资源优化的目标。

【Objective】With the rapid development of cloud computing,big data technology,and Data Center(DC),the scale and number of DC continue to expand,and the bandwidth resources and energy consumption of optical networks is also growing rapidly.It can be seen that the method can effectively reduce both bandwidth resources and energy consumption in the network has received widespread attention.【Methods】Considering the characteristics of both the network energy consuming components,the spectrum resource allocation,and the selection of different modulation formats,we employ both adaptive traffic grooming method and a spectrum layering method for network traffic grooming.A Distance-adaptive Stratification Grooming Method(DSGM)in elastic optical networks is also proposed.We can employ the adaptive selection of different modulation formats to divide spectrum resources into different spectrum layers for network traffic grooming.In this way,on the one hand,the distance adaptive modulation method can select different modulation formats based on the length of the connection request working path.On the other hand,based on the spectrum layered traffic grooming method,the idle spectrum resources of each fiber link are layered according to different rates of optical channels.The appropriate optical channels are selected for traffic grooming through optimizing the use of spectrum resources based on the remaining bandwidth resources of the fiber links.We also introduce three different traffic grooming methods for comparison,including Spectrum Stratification Grooming Method(SSGM),Traditional Traffic Grooming Method(TTGM),and Traditional Method Without Grooming(TMWG).【Results】The simulation results show that the proposed approach significantly reduces the energy consumption,and the blocking probability.It also improves the network spectrum efficiency compared with SSGM,TTGM,and TMWG method.【Conclusion】We can realize the network resource optimization by using the stratification traffic grooming methods in elastic optical networks.