一种多粒度传送网中的能量感知自适应疏导机制

在多粒度传送网中,可以通过业务量疏导将大量业务数据疏导进光层,从而有效提高带宽利用率和降低能耗。基于此,首先描述了一种能量感知的网络模型,并根据多粒度传送网的实际工作情况,引入网络行为的概念,分析了多粒度传送网的能耗情况。然后提出了能量感知自适应IP层优先疏导算法,引入了"旁观节点"的概念,旨在适当的时刻将网络中度数较低的节点调整为"旁观节点"状态,以使网络重载时新到来的业务能够不经过这样的节点。最后对所提出的算法进行了仿真实现,仿真结果表明所提算法与基准算法相比有明显的优势。

An energy-aware adaptive grooming mechanism in multi-granularity transport networks

In multi-granularity transport networks,a large scale of traffic in IP layer can be groomed into the optical layer through traffic grooming technology,therefore,it can effectively improve the bandwidth utilization and reduce energy consumption.Based on this,an energy-aware network model is described,and according to the actual work situation of multi-granularity transport networks,the concept of network behavior is introduced,and the power consumption of network is analyzed in detail.Then,the energy-aware adaptive IP layer priority traffic grooming algorithm is proposed,and the concept of “spectator node”is introduced, the purpose of which is to change some nodes that have low degree into “spectator node”at appropriate time and to make the new traffic not able to go through such nodes when the network is under high load.Finally,the proposed algorithm has been simula-ted,and the results show that the algorithm has obvious advantages compared with the reference algorithm.