| 摘要 |
<p>A committed information rate (CIR) prediction (CIR-P) (502) is received by a traffic shaping module (249) from a network analysis module (NAM) (246). CIR-P (502) may be determined by NAM (246) in any number of different ways, depending on the learning machine techniques used by NAM (246). CIR-P (502) corresponds to a predicted average traffic rate supported by a network connection. A traffic shaping strategy is adjusted by the traffic shaping module (249) based on the CIR-P (502) wherein a rate at which data is communicated over the network connection is based on the traffic shaping policy. The effects of the adjusted traffic shaping strategy are monitored. Feedback is further provided to the machine learning model based on the monitored effects of the adjusted traffic shaping strategy. In an embodiment, traffic shaping module (249) may send a prediction request (504) to NAM (246) in order to explicitly request a CIR-P value from NAM (246). The request may be sent in response to detecting the presence of local queuing delays or in response to detecting an increase in dropped packets along the network connection. Illustrative embodiments that provide for predictive network control to be used in multicarrier wide area networks (WANs).</p> |
