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平面背景流量的强度是光突发交换网络中的一个重要参数。该参数直接影响网络的性能并约束网络边缘节点的组装算法。指出了在配置波长转换器的情况下,核心节点控制平面的服务速率是与背景流量密切相关的随机变量而不是确定性变量。构建了M/D/1和一种特殊的M/G/1排队模型分别描述不同配置的核心节点的行为,并以剩余偏置时间为观测变量,构建了核心节点的背景流量估计模型。仿真和数值分析表明,该模型能够实时反映出核心节点控制平面的背景流量强度。
The intensity of a flat background traffic is an important parameter in an optical burst switching network. This parameter directly affects the performance of the network and constrains the assembly algorithm of the network edge node. It is pointed out that when the wavelength converter is configured, the service rate of the control plane of the core node is a random variable rather than a deterministic variable that is closely related to the background traffic. The M / D / 1 and a special M / G / 1 queuing model are constructed to describe the behavior of core nodes in different configurations respectively. With the remaining bias time as the observation variable, the background traffic estimation model of the core node is constructed. Simulation and numerical analysis show that the model can reflect the background traffic intensity of the control plane of the core node in real time.