With the increased usage of time-critical applications, the need for differentiation among service classes has become a major goal in research communities. Optical burst switching (OBS) is one of the most promising switching technologies to cope with heavy traffic diversity. To satisfy the bandwidth requirement in OBS networks, the recent literature suggests two efficient techniques: one is based on offset time and the other is on wavelength reservation. In this paper, we analyze the wavelength reservation based technique to support a given number of service classes. We describe a Markov model to estimate the blocking probabilities of various service classes. Simulation is conducted at one of the output ports of a core node to validate the model.

随着时间关键型应用程序使用的增加，区分服务类别的需求已成为研究社区的一个主要目标。光突发交换（OBS）是最有前途的交换技术之一，可以应对繁重的业务多样性。为了满足 OBS 网络的带宽需求，最近的文献提出了两种有效的技术：一种基于偏移时间，另一种基于波长预留。在本文中，我们分析了基于波长预留的技术以支持给定数量的服务类别。我们描述了一个马尔可夫模型来估计各种服务类别的阻塞概率。在核心节点的输出端口之一进行仿真以验证模型。