Token bucket traffic shaping method suitable for fusion network
A technology that integrates network and traffic shaping, applied in the field of data management, can solve the problems of different transmission rates and different QoS control mechanisms, and achieve the effect of ensuring QoS
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[0034] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0035] Network services show statistical self-similarity in a large scale. The outstanding performance is that bursts have no clear length and show the same burst characteristics at different time scales. The services are long-term correlated and cannot be smoothed out. . Therefore, the self-similarity model is selected as the network traffic model in the present invention. Combining the characteristics of the token bucket algorithm and the self-similar model, the token bucket output traffic model L(t)=rt+b and the self-similar model are used through the loss rate ε Linked, where L(t) is the token bucket output flow, t is the data burst time interval, r is the token generation rate, b is the token bucket capacity, m is the average rate of arriving data traffic, and a is the arriving data Variance of flow rate, Z H (t) is the mean value ...
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