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METHODS AND SYSTEMS FOR CLASSIFYING TRAFFIC FLOWS BASED ON PACKET PROCESSING METADATA
METHODS AND SYSTEMS FOR CLASSIFYING TRAFFIC FLOWS BASED ON PACKET PROCESSING METADATA
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机译:基于数据包处理元数据对业务流量进行分类的方法和系统
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摘要
Methods and system for directing traffic flows to a fast data path or a slow data path are disclosed. Parsers can produce packet header vectors (PHVs) for use in match-action units. The PHVs are also used to generate feature vectors for the traffic flows. A flow training engine produces a classification model. Feature vectors input to the classification model result in output predictions predicting if a traffic flow will be long lived or short lived. The classification models are used by network appliances to install traffic flows into fast data paths or the slow data paths based on the predictions.
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