分组分类；
The conception of packet classification and request for it is introduced.
介绍了流分类算法的概念以及对流分类算法的要求；
The rapid growth of network has brought a challenge to packet classification at line speed.
随着网络速度的提升，对数据包进行线速分类变得越来越具有挑战性。
Applying A2BV algorithm, a high speed packet classification engine is presented based on IXP2400.
以IXP2400为硬件核心，运用A2BV算法设计和实现了一个高速包分类引擎系统。
Performance of packet classification algorithm is an important factor of delay and throughput of network.
包分类算法的性能对网络的时延和吞吐量有决定性的影响。
This paper presented the definition, geometric meaning, and recent research development of packet classification problem.
阐述了互联网络中报文分类问题的定义、几何意义和最新研究进展。
This paper proposes an implementation method of packet classification based on CAM to provide fast packet classification.
在分析现有的高速数据包分类技术的基础上给出了一种基于CAM的高速数据包分类的实现方法。
The presentation of parallel packet classification indicates how to reduce the storage space and update time is the research importance.
通过引入并行流分类算法说明了流分类算法的研究重点是减小存储空间和提高更新速度。
This paper found out the fast packet classification algorithm EGT-PC's search time and storage space performance were decreased by the rules' redundant copies.
研究发现快速包分类算法EGT-PC由于压缩特里树路径带来规则集的大量冗余备份降低了算法的查找时间和存储空间等性能。
This paper designs and implements an engine system of packet classification applying the parallel classifying algorithm, in which network processor is the hardware core.
本文以网络处理器为硬件核心，结合提出的并行包分类算法，设计和实现了一个包分类引擎系统。
Based on tuple space search, a packet classification algorithm called bitmap vector of tuple space for multi dimensional conflict free filters is presented in this paper.
本文对无过滤规则无冲突的数据库进行了研究，提出了基于元组空间多维分组分类算法：元组空间矢量位映射算法。
As the core of packet classification technology, the performance of packet classification algorithm has a crucial influence on the time delay and throughput of the network.
包分类算法作为包分类技术的核心，其性能对网络的时延和吞吐量有决定性的影响。
The compositive multi-dimensional packet classification algorithm based on tree divided by value is scalable. It can deal with prefixes match and range match for large rule sets.
采用按值分支树的多维综合流分类算法支持前缀和范围匹配，可扩展性强，适合大容量规则数据库。
As the packet classification system meet the performance bottleneck in the high speed network environment; this paper presents an idea of design based on the cooperation of software and hardware.
针对高速网络数据分类系统遇到的性能瓶颈，本文提出了一种软硬件协同的设计思路。
However, performing classification quickly on multiple fields is known to be difficult, and the fast increase of packet arrival rate also put great pressure on the packet classification algorithms.
但是高速多维报文分类本身是一个公认的难以解决的问题，而且报文速率的快速增长给报文分类算法带来了巨大的压力。
Using the different time-frequency characteristics of wavelet and wavelet packet, the proposed approach can avoid the noise and complete the detection and classification of transient power quality.
该方法利用小波和小波包各自的时频分解特点，实现了暂态电能质量扰动的自动检测和分类。
The queue sets different RED maximum threshold for different packet class based on local priority classification.
该队列基于本地对数据分组的优先级划分，为不同的优先级类别设置不同的RED最大门限值。
The queue sets different RED maximum threshold for different packet class based on local priority classification.
该队列基于本地对数据分组的优先级划分，为不同的优先级类别设置不同的RED最大门限值。
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