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针对多粒度应用,开发了一种用于流量疏导的波群模型,并引入一种基于此模型的新型智能交换结构·该光交换结构提供了独特的区分粒度到相应隧道进行有效处理的方法·此外,还讨论了控制层粒度分离时采用的两个关键的动态算法模块·仿真结果显示这种特殊的通道分离方法有效提高了处理动态连接请求时每个光路径的平均信号通道质量和阻塞性能·
For multi-granularity applications, a wave group model for traffic grooming has been developed and a new type of intelligent switch fabric based on this model has been introduced. The optical switch fabric provides a unique way of differentiating granularity to the corresponding tunnel for efficient processing. In addition, two key dynamic algorithm modules used in the control layer granularity separation are also discussed. The simulation results show that this particular channel separation method effectively improves the average signal path quality and blocking performance of each optical path when processing dynamic connection requests ·