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。
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。
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。
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。
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