弹性光网络中时延感知的降级恢复路由与频谱分配算法

Delay-aware Degradation-recovery Routing and Spectrum Allocation Algorithm in Elastic Optical Networks

移动云计算、人工智能(AI)、5G等新兴技术应用促使弹性光网络(EON)在骨干传输网中发挥更重要的角色,降级服务(DS)技术为降低EON的业务阻塞率、提高频谱利用率提供了新途径。该文首先对现有DS算法的资源分配不公、忽略低等级业务的体验质量(QoE)等问题,建立了以最小化降级频次、降级等级与传输时延损失(TDL)为联合优化目标的混合整数线性规划(MILP)模型,并提出一种时延感知的降级恢复路由与频谱分配(DDR-RSA)算法。为提高降级业务的QoE和运营商收益,在算法的最优DS窗口选择阶段中融入降级恢复策略,在保障传输数据量不变的前提下,将降级业务向空闲频域复原,从而提高频谱效率、减小降级业务TDL和最大化网络收益。最后,通过仿真证明了所提算法在业务阻塞率、网络收益和降级业务成功率等方面的优势。

Emerging technology applications such as mobile cloud computing,Artificial Intelligence(AI)and 5G promot Elastic Optical Network(EON)to play an important role in the backbone transmission network.Degraded Service(DS)technology can provide a new way to reduce traffic congestion and improve spectrum utilization in EON.Firstly,considering the problems of unfair resource allocation and neglecting the Quality of Experience(QoE)of low-priority services in existing DS algorithms,a Mixed Integer Linear Program(MILP)model with the joint objective of minimizing downgrade frequency,downgrade level and Transmission Delay Loss(TDL)is established.A Delay-aware Degradation-Recovery Routing and Spectrum Assignment(DRRRSA)algorithm for degraded recovery is proposed.In order to improve the QoE of downgraded services and the revenue of operators,the strategy of degradation recovery is integrated in the optimal DS-window selection phase of the algorithm.Under the premise of guaranteeing the transmission data quantity unchanged,the degradable services are restored to the free spectrum domain,so as to increase the spectrum efficiency,reduce degraded service TDL and maximize revenue.Finally,the simulation results tesfity that the proposed algorithm has advantages in terms of traffic congestion,revenue and degraded service success-rate.