Deep packet processing requires extremely high speed analysis, detection, and re assembly of application traffic to avoid delays in applications.
深度数据包处理要求以极高的速度分析、检测及重新组装应用流量，以避免应用时带来时延。
This thesis illustrates examples of the methods on structure analysis of traffic flow data based on Vehicle License Plate Recognization with OLAP technology and its application prospect.
文章结合实例，阐述了运用OLAP技术对基于车牌识别的交通流数据进行结构分析的方法及应用展望。
In recently years, wavelet analysis has more and more wide application in network traffic model, and it offers the strong base for using network source efficiently.
近年来，小波分析理论在网络业务模型中的应用越来越广泛，它为更有效的利用网络资源提供了坚实的理论基础。
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